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@alexkroman1/aai-runtime/testing — the PURE testing door of an agent project: every fake, recorder and reader a spec needs that installs nothing, and the drivers that run an agent’s own machinery for real — a DURABLE workflow run and a TEXT agent turn.

A test file imports from two places: this subpath, and @alexkroman1/aai-runtime/testing/vitest for everything that INSTALLS or RESTORES (and for the eval suites). This one carries every public name of @alexkroman1/aai/testing — createToolContext, runTool, expectToolOk, stubGenerate, createWorkflowContext, … — re-exported as the SAME declarations, so a type from either package is one type.

import { workflow } from "@alexkroman1/aai";
import { runWorkflow } from "@alexkroman1/aai-runtime/testing";
const approve = workflow({
description: "Hold a draft until a reviewer answers.",
run: async (_input, ctx) => await ctx.waitFor<{ approved: boolean }>("approval:1"),
});
const run = await runWorkflow(approve, { draft: "…" });
console.log(run.status); // "running" — parked on the reviewer
await run.signal("approval:1", { approved: true });
console.log(run.status); // "completed"

createWorkflowContext (declared in the SDK) hands a workflow body a ctx that RECORDS — the right tool for asserting what a body asked for, and explicitly not a durability test. runWorkflow runs the real engine over the memory journal, so a spec can assert that a run slept, resumed, retried, was answered, and survived a dead worker.

scriptedTextModel and runTextAgent are the same idea one mode over: the script is a step — what the model says, what it calls — and the text agent underneath is the real one.

import { agent } from "@alexkroman1/aai";
import { runTextAgent } from "@alexkroman1/aai-runtime/testing";
const run = await runTextAgent(
agent({ name: "Desk", mode: "text" }),
"where is order 7?",
{ script: [{ text: "It shipped yesterday." }] },
);
console.log(run.text); // "It shipped yesterday."

Why the SDK’s helpers are re-exported HERE

Section titled “Why the SDK’s helpers are re-exported HERE”

@alexkroman1/aai never imports this package (the dependency runs one way), and the engine is runtime — so the one door has to be on the runtime, and the SDK’s helpers are re-exported in this direction. They stay DECLARED (and versioned, as aai:testing) in the SDK; here they are owned by this package’s eval-stubs and testing-stubs capabilities, because dropping one from this door would be this package’s break.

Nothing here installs a global or owns a lifetime a runner has to unwind — the workflow driver injects its own dispatcher, so no timer is ever armed — which is this repo’s rule for what may stay off a /vitest subpath (konsistent published-testing-split). It does not import vitest.

Exports are enumerated explicitly (no export *) so the public surface is deliberate: a new symbol in one of these modules does not ship as public API until it is added here.

createMemoryJournal(): WorkflowJournal

A run journal in this process’s memory, for a host that must hold one across a runtime rebuild.

aai dev is the reason it exists: it rebuilds the runtime on every file save, and the engine’s own default is a FRESH journal per build — so every save discarded the runs. Build one per PROCESS and hand the same handle to each runtime. It does not survive a restart; a deployment that owns a database gets the Postgres journal from RuntimeOptions.db instead, and a supplied memory journal never outranks it.

WorkflowJournal


createRouteContext(overrides?): RouteContext

Build a RouteContext for calling a route handler in isolation.

Defaults are inert: an empty env, a workflows client whose every method rejects naming itself (createStubWorkflows), a clientTranscript that answers no sessions, a sessionTranscript that answers no lines, a speech that finds no live session, and a signal that never aborts. Override any of them — most specs pass env and a workflows fake of their own.

A hand-built literal has to restate every field, and it is the field the runtime gained LAST that it leaves out: five shipped specs each carried one, and sessionTranscript was missing from all five.

RouteContextOverrides

RouteContext

import { type RouteHandler, type RouteRequest, routeError } from "@alexkroman1/aai";
import { createRouteContext, createStubWorkflows } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
const getCall: RouteHandler = async (req, ctx) => {
const [run] = await ctx.workflows.find("call", req.params.id ?? "", { limit: 1 });
if (run === undefined) throw routeError(404, `No call ${req.params.id}.`);
return run;
};
const request: RouteRequest = {
method: "GET",
path: "/calls/c_1",
params: { id: "c_1" },
query: {},
headers: {},
body: undefined,
};
test("GET /calls/:id is a 404 for a call nobody placed", async () => {
const workflows = createStubWorkflows({ find: () => Promise.resolve([]) });
const ctx = createRouteContext({ env: { CALLS_API_KEY: "k" }, workflows });
await expect(getCall(request, ctx)).rejects.toMatchObject({ status: 404 });
});

createRunSnapshot<R>(overrides?): WorkflowRunSnapshot<R>

Build a WorkflowRunSnapshot — the right arm of the union, without a cast.

Defaults to a running run, which is the state a tool that has just started one reads back.

R = unknown

RunSnapshotOverrides<R>

WorkflowRunSnapshot<R>

import { createRunSnapshot, createStubWorkflows } from "@alexkroman1/aai/testing";
const workflows = createStubWorkflows({
find: () => Promise.resolve([createRunSnapshot({ status: "failed", error: "gateway down" })]),
});

createRunSnapshot<R>(workflow, overrides?): WorkflowRunSnapshot<R>

Build a WorkflowRunSnapshot of a run of workflow, with output TYPED by the def.

The def carries R — what its body returns, or what its output schema declares — so createRunSnapshot(recap, { status: "completed", output }) checks output against it, where the bare form takes whatever R the caller names. A fixture whose output stopped matching the body is then a compile error in the spec rather than a page that renders undefined.

The def names the run too, when it can: workflow is the key the def was declared under (workflowNameOf, recorded when the agent is lowered — a virtual:aai/agent import, withWorkflows, workflowRegistry), the overrides’ workflow winning, and "workflow" for a def no agent declares.

R

AnyWorkflowDef<R>

RunSnapshotOverrides<R>

WorkflowRunSnapshot<R>

shared.ts
import { workflow } from "@alexkroman1/aai";
import { z } from "zod";
export const recap = workflow({
description: "Write up a recording",
input: z.object({ recording: z.string() }),
output: z.object({ headline: z.string(), points: z.array(z.string()) }),
run: async () => ({ headline: "…", points: [] }),
});
// file: recap.test.ts
import { createRunSnapshot } from "@alexkroman1/aai/testing";
import { recap } from "./shared.ts";
const done = createRunSnapshot(recap, {
status: "completed",
output: { headline: "…", points: [] }, // typed by `recap`
}); // `workflow` is "recap" once the agent declaring it has been imported

createSlotStore(): SlotStore

A fresh, empty, REAL slot store — one session’s, with no backend: a durable write is checked and frozen exactly as a deployed session’s is.

What createToolContext() puts on ctx.slots by default; named so a spec can hand ONE store to two contexts (a tool and an event handler sharing a session), or build a SlotHolder without a whole context.

SlotStore

import { createSlotStore, createToolContext } from "@alexkroman1/aai/testing";
const slots = createSlotStore();
const first = createToolContext({ slots });
const second = createToolContext({ slots, sessionId: first.sessionId });

createStubWorkflows(overrides?): WorkflowClient

A ctx.workflows for testing a tool that starts or reads durable runs: every method rejects by default, and overrides replaces the ones the test drives.

The alternative is a cast, and the cast is what goes wrong. A complete WorkflowClient is eight methods, of which a tool’s test usually drives one or two, so the hand-rolled version is a literal with as WorkflowClient — which keeps compiling when the client GAINS a method and leaves that method undefined. Two shipped templates had exactly that, and adding wakeUp and stream to the client is what surfaced it: the casts still compiled.

Rejecting rather than no-op defaults, for the reason createUnusedDb rejected before it went away with ctx.db — a tool that reaches for a method the test did not stub should say so, not silently receive undefined. listing is the exception and returns [], because it is synchronous and an empty list is a truthful answer.

import { createStubWorkflows, createToolContext } from "@alexkroman1/aai/testing";
const workflows = createStubWorkflows({ start: async () => "wrun_1" });
const ctx = createToolContext({ workflows });

Partial<WorkflowClient>

WorkflowClient


createToolContext(overrides?): TestToolContext

Build a ToolContext for testing a tool’s execute in isolation.

Defaults are chosen so the context is inert: empty env, an empty slot store, workflows, generate and delegate that reject with a message naming themselves, a signal that never aborts, and a send that records. Override any of them.

generate and delegate also take a SCRIPT, which is the way in for a tool that calls a model: pass stubGenerate’s own argument and the fake is built here, installed, and handed back on ctx.model (ctx.desk for delegate).

Each call is a distinct session. sessionId auto-increments, which is what makes the two-context isolation test — the same tool run against two contexts must not share state — read the way it does. Pass sessionId explicitly when a test needs two contexts to be the SAME session (a reconnect, a keyed lock).

An override may be undefined, which means “I do not have one” and leaves the default in place — see ToolContextOverrides for why that is not Partial<ToolContext>.

There is no state type parameter, because there is no ctx.state bag to type: a slot types its own value in the module that declares it, and reading the slot back is how a spec asserts what a tool wrote.

ToolContextOverrides

TestToolContext

shared.ts
import { sessionSlot } from "@alexkroman1/aai";
export const cartSlot = sessionSlot("cart", () => ({ items: [] as string[] }));
// file: tools/add_item.ts
import { z } from "zod";
import { cartSlot } from "../shared.ts";
export default cartSlot.updateTool({
description: "Add an item to the cart",
inputSchema: z.object({ item: z.string() }),
execute: ({ item }, cart) => {
cart.items.push(item);
return { count: cart.items.length };
},
});
// file: agent.test.ts
import { createToolContext } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import { cartSlot } from "./shared.ts";
import addItem from "./tools/add_item.ts";
test("add_item appends to this session's cart", async () => {
const ctx = createToolContext();
await addItem.execute({ item: "apple" }, ctx);
expect(cartSlot.get(ctx).items).toEqual(["apple"]);
});

Asserting on what a tool sent

tools/recommend.ts
import { tool } from "@alexkroman1/aai";
import { z } from "zod";
export default tool({
description: "Recommend something for a mood",
inputSchema: z.object({ mood: z.string() }),
execute: ({ mood }, ctx) => {
ctx.send("recommendations", { mood, picks: ["a walk by the river"] });
return { picks: 1 };
},
});
// file: agent.test.ts
import { createToolContext } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import recommend from "./tools/recommend.ts";
test("recommend pushes its picks to the client", async () => {
const ctx = createToolContext();
await recommend.execute({ mood: "chill" }, ctx);
expect(ctx.sent).toEqual([{ event: "recommendations", data: expect.anything() }]);
});

Scripting the model in the same call

import { createToolContext } from "@alexkroman1/aai/testing";
// `{ reply }` answers every call; `{ routes }`, keyed by system prompt,
// answers a tool that plays more than one model role.
const ctx = createToolContext({ generate: { reply: "A short summary." } });
// … run the tool, then assert on what it asked:
// expect(ctx.model.calls.map((call) => call.prompt)).toEqual([…]);

createWorkflowContext(options?): WorkflowContextRecorder

Build a WorkflowContext that runs a body and records what it asked for.

WorkflowContextOptions

WorkflowContextRecorder

workflows/digest.ts
import type { WorkflowContext } from "@alexkroman1/aai";
export async function digestFlow(input: { url: string }, ctx: WorkflowContext) {
const article = await ctx.step("fetchArticle", () => `the article at ${input.url}`);
const headline = await ctx.step("summarize", () => article.slice(0, 11));
await ctx.sleep("settle", 10_000);
await ctx.step("file", () => undefined);
return { headline };
}
// file: digest.test.ts
import { createWorkflowContext } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import { digestFlow } from "./workflows/digest.ts";
test("digest runs its steps in order and sleeps once", async () => {
const ctx = createWorkflowContext();
const output = await digestFlow({ url: "https://example.com/a" }, ctx);
expect(output.headline).toBe("the article");
expect(ctx.steps.map((s) => s.name)).toEqual(["fetchArticle", "summarize", "file"]);
expect(ctx.slept).toEqual([{ label: "settle", until: 10_000 }]);
});

deployedAgent<D>(authored, project): D

The def a DEPLOYED agent runs: the one agent.ts exports, plus the tools its tools/ directory declares, plus what its system-prompt.md says.

This is one call because forgetting HALF of it is the failure it exists to prevent, and that failure is silent. Neither lowering is applied by agent() — both are applied by the BUILD (aai build enumerates tools/ and resolves the prompt file) — so a spec or an eval driving the raw default export measures an agent with NO TOOLS and the FRAMEWORK-DEFAULT system prompt. Nothing fails: the model answers plausibly out of its own knowledge, every case that asserts a sentence still passes, and the suite reports green on a different agent than the one anybody deploys. It produced four bogus green eval results in one day, and the two nested wrappers it replaces — a tools lowering inside a prompt lowering, written out in seventeen template evals — are exactly the shape where one of the two goes missing under an edit.

Under vitest, prefer import agentDef from "virtual:aai/agent", which is this call made for you against the importing spec’s own directory (see the module doc). Reach for this one when the runner is not vitest, or when the lowering itself is the subject of the spec.

An EMPTY tools glob throws. That is the same bug wearing its other face: import.meta.glob("./tool/*.ts") (or a tools/ directory that moved) matches nothing, and lowering nothing onto the def is indistinguishable from not lowering at all. A project with no tools omits the field instead, which is a statement rather than an accident.

agent.ts
import { agent } from "@alexkroman1/aai";
export default agent({ name: "Notes" });
// file: tools/add_note.ts
import { tool } from "@alexkroman1/aai";
import { z } from "zod";
export default tool({
description: "Save a note",
inputSchema: z.object({ text: z.string() }),
execute: ({ text }) => ({ saved: text.length }),
});
// file: agent.test.ts
import { deployedAgent } from "@alexkroman1/aai/testing";
import authored from "./agent.ts";
import systemPrompt from "./system-prompt.md?raw";
const agentDef = deployedAgent(authored, {
tools: import.meta.glob("./tools/*.ts", { eager: true }),
systemPrompt,
});

Every rule the build applies applies here too, and each is an error naming the file: the tool-name grammar, the default-export requirement, no nested files, a name declared twice, an empty prompt file, and a system-prompt.md that exists while the def carries a different prompt STRING (a raw config’s, or a host’s — agent() refuses the key) — the “I edited the prompt and nothing changed” failure.

Bounded by the two fields it lowers ONTO, not by AgentDef. An agent() def satisfies it and comes back as its own type, so a template keeps its exported workflow types; the bound says what the function reads, and keeps AgentDef and everything behind it off @alexkroman1/aai/testing’s contract.

D extends ToolBearingAgent & object

D

ProjectFiles

D


endSessionCalls(ctx): readonly object[]

Every endSession(ctx, …) a tool made on a createToolContext context’s session, in call order, with its options resolved (afterReply defaults to true). Empty when the tool never ended the session.

A function of the context rather than a field on TestToolContext, for the reason endSession is one: it reads the session, which ctx.sessionId names.

import { endSession, tool } from "@alexkroman1/aai";
import { createToolContext, endSessionCalls } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import { z } from "zod";
const endCall = tool({
description: "Hang up.",
inputSchema: z.object({}),
execute: (_args, ctx) => ({ ended: endSession(ctx) }),
});
test("end_call hangs up after the goodbye", async () => {
const ctx = createToolContext();
await endCall.execute({}, ctx);
expect(endSessionCalls(ctx)).toEqual([{ afterReply: true }]);
});

Pick<ToolContext, "sessionId">

readonly object[]


expectDeployable<D>(def): DeployedConfig

Run the invariants a deployable agent owes, and hand back the RESOLVED config so a spec can go on to assert its own specifics — a chosen model, a declared builtin — without converting twice.

Three invariants, each thrown by name:

  • The config passes manifest validation — the same toAgentConfig that aai build and aai deploy run, so an invalid provider combination or tuning fails here rather than at the first live session.
  • The platform can name it — there IS a name, and the conversion carries it through. Not the literal: renaming the agent is the first edit a starter invites, and the studio lists a deployed agent by exactly this string.
  • Every stage its mode needs is filled, declared or defaulted — asserted per MODE so it survives a swap. A pipeline agent has an stt, llm and tts kind, each declared stage surviving as declared and each unset one filled by defaultProviders; a text agent has no audio stage (its llm may be absent — createTextAgent defaults the one stage it has); an s2s agent has an s2s kind and NO cascade, since speech-to-speech replaces the pipeline rather than joining it — the one thing that must never happen by fallthrough.

toAgentConfig already refuses most of the states the second and third invariants describe (a blank name, s2s beside a pipeline stage). They are checked here anyway, and BEFORE or AFTER the conversion as the message needs, because the value of this helper is the sentence: a spec that failed on “expected function not to throw” has to re-run the conversion by hand to learn which invariant went.

import { agent } from "@alexkroman1/aai";
import { expectDeployable } from "@alexkroman1/aai/testing";
const config = expectDeployable(agent({ name: "Desk", builtinTools: ["run_code"] }));
// The invariants held; now the template's own claim.
console.log(config.builtinTools); // ["run_code"]

D extends object

D

The agent under test — an agent() definition, or the raw default export of an agent.ts. Structural: only name is required of the TYPE, because validating the rest is this helper’s job at run time — the same toAgentConfig a deploy runs. Generic only so a spread literal carrying a field this type does not name ({ ...def, maxSteps: 0 }) is not an excess-property error.

DeployedConfig

The config a deploy carries, mode derived and defaults injected — see DeployedConfig for the fields it names.

Naming the invariant that failed, and — for the validation one — the sentence toAgentConfig wrote about the field.


expectDialogOk<R>(result): [Exclude<R, ToolFailure>] extends [DialogToolResult<V>] ? DialogToolResult<V> : DialogToolResult<unknown>

The dialog envelope a gated tool answered, keeping WHERE the dialog landed.

The half a spec needs when the assertion is about the conversation rather than about the tool’s own value — that a call advanced the machine into quote.pending, that a final state reports done. Unlike expectToolOk, which passes a plain tool’s value through, this THROWS on anything that is not a dialog envelope: keeping a position claims there is one.

Typed by INFERENCE, as expectToolOk is: handed the envelope a run answered (runTool(theTool, …), a runner’s run(theTool, …), theTool.execute(…)) it keeps the type under result. There is no claimed form.

R

What was handed in, inferred — never written.

R

[Exclude<R, ToolFailure>] extends [DialogToolResult<V>] ? DialogToolResult<V> : DialogToolResult<unknown>

When the tool refused, quoting the refusal, as expectToolOk does.

When the value is not a dialog envelope — a plain tool() has no position to keep; use expectToolOk for it.

tools/quote.ts
import { tool } from "@alexkroman1/aai";
// In a project this is a `dialog.tool(...)`, whose envelope the dialog writes.
export default tool({
description: "Quote the job",
execute: () => ({ result: { quoted: 42 }, state: "quote.pending", done: false }),
});
// file: agent.test.ts
import agentDef from "virtual:aai/agent";
import { createToolContext, expectDialogOk, toolRunner } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import quote from "./tools/quote.ts";
const run = toolRunner(agentDef);
test("quote moves the dialog on", async () => {
const ctx = createToolContext();
const answered = expectDialogOk(await run(quote, ctx));
expect(answered.state).toBe("quote.pending");
expect(answered.result.quoted).toBe(42);
});

expectDialogRefused(result, state?): ToolFailure

The refusal a gated tool answered with, or a throw saying the gate did NOT hold.

The mirror of expectDialogOk, for the spec whose subject is that a tool was REFUSED: called before the dialog reached its state, or after it left. Six template specs had written the other half by hand — an isToolFailure check, a toBe(true), and a regex for the sentence the gate writes — and a success slipped through that shape as three assertions that never ran, because each sat inside the if the guard opened.

With a state, the refusal must also NAME it: that the tool was refused is half the claim, and that the conversation was where the spec thinks it was is the half a gate on the wrong state hides in. Matched with dialogRefusalPattern, so a spec never spells the sentence.

unknown

What runTool / toolOf(...).execute(...) answered.

string

The position the refusal must name, as DialogPosition.state spells it. Omit to accept a refusal at any state.

ToolFailure

When the tool was NOT refused — a dialog envelope is reported with the state it landed in, since that is the fact the spec got wrong.

When it was refused for some other reason, or at some other state, quoting the refusal.

import { expectDialogRefused } from "@alexkroman1/aai/testing";
const refused = expectDialogRefused(
{ error: 'Not available yet: this conversation is at "idle". Call start_plan first.' },
"idle",
);
refused.error.includes("start_plan"); // true — the instruction the model recovers from

expectPromptBuiltinsDeclared(def): BuiltinTool[]

Every builtin the prompt commands is one builtinTools declares — or a throw naming the ones that are not.

The pairing a prompt-driven template is made of: the prose holds the rules (“you MUST use run_code for arithmetic”, “look rates up with fetch_json”), and agent.ts holds the array that makes those tools exist. The failure is silent in both directions and shows up in a diff of neither file — a prompt commanding fetch_json at an agent that never declared it produces a model apologizing for a tool it cannot see, and a builtin dropped from agent.ts alone leaves an endpoint list addressed to nothing.

A prompt commanding NO builtin is a failure, not a pass. Non-vacuity earns its keep twice: a loop over nothing asserts nothing, and it is also the state a template lands in when system-prompt.md was not applied — the framework default names no builtin, so “I edited the prompt and nothing changed” fails here instead of passing quietly with the template’s rules nowhere in its context. A spec whose prompt legitimately describes its tools rather than naming them does not want this helper; it asserts on builtinTools directly.

The converse is deliberately NOT asserted: declaring a builtin the prompt never mentions is an ordinary edit, and the model learns about it from its own tool schema rather than from the prose.

A custom tool of the same NAME declares it too. An agent may replace a builtin with its own tools/text_me.ts — a different channel, a different recipient rule — and the prompt’s “text it with text_me” is then addressed to that tool, which the model sees under exactly that name. The claim is “the model has a tool called this”, and def.tools answers it as well as builtinTools does. That is why tools is read, and why a def lowered with deployedAgent (or imported from virtual:aai/agent) is the one to pass: the authored ./agent.ts carries no tools.

A RESOLVER is CALLED, and refused when it cannot be. systemPrompt may be a function, and toAgentConfig drops one rather than putting it on the wire — so scanning the converted config would read the FRAMEWORK’s default prompt and report on a prompt this agent never sends. That is the one outcome a check may not have: the default names no builtin, so scanning it fails for the wrong reason — pointing at an unapplied system-prompt.md that is not the problem — and PASSES the day the default happens to name one. So the resolver is called with a bare createToolContext — a fresh session id, no env, an empty slot store — and its answer is what gets scanned. That is enough for the prose half, which is a ?raw import closed over by the function and does not vary with session state. A resolver that cannot answer from a bare context (it reads an env var, or a slot it expects seeded) THROWS, and this refuses by name rather than falling back to the default: seed a context, call the resolver yourself and pass its text as the systemPrompt of the def this takes, or assert on builtinTools directly.

import { agent } from "@alexkroman1/aai";
import { deployedAgent, expectPromptBuiltinsDeclared } from "@alexkroman1/aai/testing";
// Under vitest, `import agentDef from "virtual:aai/agent"` is this lowering made for you.
const commanded = expectPromptBuiltinsDeclared(
deployedAgent(agent({ name: "Coda", builtinTools: ["run_code"] }), {
systemPrompt: "Answer every sum by calling run_code.",
}),
);
console.log(commanded); // ["run_code"]

The agent under test — only its systemPrompt, builtinTools and the KEYS of tools are read, so an agent() def passes as it is. Whether the WHOLE def converts is expectDeployable’s claim, not this one’s.

readonly BuiltinTool[]

AgentSystemPrompt

Readonly<Record<string, unknown>>

BuiltinTool[]

The commanded builtins, for a spec that wants to say more about them.

When the prompt names no builtin, when it names one builtinTools lacks, or when a systemPrompt resolver cannot answer from a bare context.


expectSlotContract<K, T, V>(slot, options?): void

Assert the three invariants of slot’s declaration — see the module doc.

K extends string

T

V

SessionSlot<K, T, V>

SlotContractOptions<T>

void

Naming the invariant that failed, and for a cap the key.

import { sessionSlot } from "@alexkroman1/aai";
import { expectSlotContract } from "@alexkroman1/aai/testing";
const log = sessionSlot("log", () => ({ lines: [] as string[], total: 0 }), {
caps: { lines: 50 },
view: (value) => ({ count: value.lines.length }),
});
expectSlotContract(log, {
write: (draft) => {
draft.lines.push("hello");
},
caps: { lines: 50 },
});

expectToolOk<R>(result): R extends DialogToolResult<V> ? V : Exclude<R, ToolFailure>

What a tool answered, minus the refusal — or a throw quoting the refusal.

Takes ANY tool’s result. A dialog() tool’s envelope (DialogToolResult) is unwrapped to the author’s own value under result; a plain tool()’s value comes back as it is. Either way a ToolFailure throws HERE, naming it, rather than as an undefined read off the failure several assertions later.

Typed by INFERENCE: handed a result — runTool(theTool, …), a runner’s run(theTool, …), or theTool.execute(…) directly — it answers that type minus ToolFailure (for a dialog tool, the type under result), so no type argument is written. There is no claimed form: a result is typed by the def that produced it, and expectToolOk<Order>(x) compiles only when x already IS an Order.

Use expectDialogOk to keep WHERE a dialog landed, and expectDialogRefused when the refusal is the subject.

R

What was handed in, inferred — never written.

R

What a tool’s execute, runTool or a toolRunner answered.

R extends DialogToolResult<V> ? V : Exclude<R, ToolFailure>

When the tool refused (ToolFailure), quoting the refusal — which for a dialog() tool is the sentence naming the state the conversation is actually in and what has to happen first.

import { tool } from "@alexkroman1/aai";
import { expectToolOk, runTool } from "@alexkroman1/aai/testing";
import { toolFailure } from "@alexkroman1/aai/utils";
import { z } from "zod";
// In a spec this is `import placeOrder from "./tools/place_order.ts"`.
const placeOrder = tool({
description: "Place the order",
inputSchema: z.object({ item: z.string() }),
execute: async ({ item }) => (item ? { id: "ord_1" } : toolFailure("Name an item.")),
});
const order = expectToolOk(await runTool(placeOrder, { item: "pizza" }));
console.log(order.id); // typed: the failure arm is subtracted

fireEvent(agent, event, ctx?): Promise<FiredEvent>

Drive the agent’s dialogs and events handlers with one event, the way the session dispatches it: every declared dialog is offered the event FIRST (dialog.receive, so a "@session.timedOut" transition fires), then the handler declared for event.type, then "*", each handed the same context. Dialogs first because a dialog is part of the session’s state and moves before any observer sees the effect — the order aai-runtime’s session keeps (session-controls.ts).

Two deliberate differences from the runtime’s dispatch, both because a SPEC is reading the outcome rather than a live call surviving it:

  • A throw PROPAGATES. The session catches a handler’s throw per handler and logs it, so a broken audit hook does not end a phone call; a spec wants the throw, because a handler that threw is the finding.
  • A promise is AWAITED. The session does not wait on an async handler (the caller is mid-turn); a spec asserting on what the handler wrote has to.

ctx is a SessionEventContext — the four fields a handler reads (sessionId, env, slots, speech) — and a createToolContext() satisfies it, which is the point: a slot the handler wrote is read back with slot.get(ctx) through the same context, and what it said is on ctx.said. Defaults to a fresh one, i.e. a DISTINCT session; pass one explicitly wherever a second event is meant to see the first’s writes.

readonly AnyDialog[]

SessionEventHandlers

string

SessionEvent

SessionEventContext

Promise<FiredEvent>

When the agent declares no events handler and no dialogs — an absent events or an empty {} alike — since there is nothing to drive, and a spec that fired into nothing would pass against nothing. A TypeError when event is not a session event (built by sessionEvent).

import { agent, sessionSlot } from "@alexkroman1/aai";
import { createToolContext, fireEvent, sessionEvent } from "@alexkroman1/aai/testing";
const heard = sessionSlot("heard", () => ({ lines: [] as string[] }));
const def = agent({
name: "Listener",
events: {
"userTranscript.committed": (event, ctx) => {
heard.update(ctx, (draft) => {
draft.lines.push(event.text);
});
},
},
});
const ctx = createToolContext();
await fireEvent(def, sessionEvent("userTranscript.committed", { text: "hello" }), ctx);
heard.get(ctx).lines; // ["hello"]

parseSchemaInput<T>(schema, value, what?): Promise<T>

Validate value against schema, or throw naming every issue.

T = Record<string, unknown>

What the schema produces. Defaults to Record<string, unknown>, which is what a tool input schema is declared as.

StandardSchemaV1<unknown, unknown> | undefined

A Standard Schema, or undefined — the shape tool.inputSchema and workflow.input both have. undefined is an ERROR rather than a pass, because “this declares no schema” is a different fact from “the schema accepted it” and a spec asserting the second must not be satisfied by the first.

unknown

string

How the schema is named in a failure. Defaults to "the schema"; pass the tool or workflow name where one is at hand.

Promise<T>

When the schema refuses value, with the issues rendered as one line (quantity: too small; size: invalid enum value) — which is what makes the failure readable at all, since a raw issue array prints as [Object].

import { workflow } from "@alexkroman1/aai";
import { parseSchemaInput } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import { z } from "zod";
const myWorkflow = workflow({
description: "Read a recording aloud",
input: z.object({ recording: z.string(), voice: z.string().default("jane") }),
run: async (input) => input,
});
test("the voice survives parsing", async () => {
const parsed = await parseSchemaInput<{ voice: string }>(myWorkflow.input, {
recording: "upl_1",
voice: "jane",
});
expect(parsed.voice).toBe("jane");
});

parseToolInput<D>(tool, value): Promise<InferToolInput<D>>

Validate value against tool’s input schema, typed by the def.

parseSchemaInput with the schema read off the def — the same def runTool takes and the eval readers match by: the tool file’s default export, a speaker’s tools entry, toolOf(agentDef, name) for a minted tool. The parsed value is InferToolInput<typeof tool>, what execute receives, so a schema that stopped defaulting a field fails at compile time in the spec that reads it, and a name string in the tool position does not compile. No agent is needed: validation is the schema’s alone, and the toolset’s gate (a roster not on the line, a dialog out of state) runs only on a CALL.

A failure names the tool by the name its agent registered it under when one did (Tool add_pizza refused that input: …), else by its description — a def built inline in a spec is as valid a subject here as a lowered one.

D extends ToolDef<ToolInputSchema>

D

unknown

Promise<InferToolInput<D>>

When the tool declares no inputSchema, or when the schema refuses value.

tools/add_pizza.ts
import { tool } from "@alexkroman1/aai";
import { z } from "zod";
export default tool({
description: "Add a pizza to the order",
inputSchema: z.object({ size: z.enum(["small", "large"]), quantity: z.number().default(1) }),
execute: ({ size, quantity }) => ({ size, quantity }),
});
// file: agent.test.ts
import { parseToolInput } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import addPizza from "./tools/add_pizza.ts";
test("add_pizza defaults the quantity", async () => {
const parsed = await parseToolInput(addPizza, { size: "small" });
// The schema's own default, which is the thing worth asserting here — and
// `parsed` is typed by the def, so a dropped field is a compile error.
expect(parsed.quantity).toBe(1);
});

routeHandlerOf(value): FetchRouteHandler

A table’s value as a handler: a handler is itself; a fixed answer is given to every request it is asked, a Response CLONED per request — a body is read once, and the second request would otherwise find it consumed.

StubStepAnswer | FetchRouteHandler

FetchRouteHandler


routeOf(routes): FetchRouteHandler

routes as ONE handler — a table matched by specificity, a list tried in order — that DECLINES (undefined) a request no route answers, so it can be one leg of a list or the otherwise of another fake. The same matching stubFetchRoutes does, without installing anything.

Readonly<Record<string, StubStepAnswer | FetchRouteHandler>> | readonly FetchRouteHandler[]

FetchRouteHandler


runGuardrail(def, text, answer?): GuardrailVerdict

Run def’s guardrail over one answer and return its verdict.

The answer is text with a ZERO cost report — one step, no tool calls — because that is what most guardrails read; a guardrail that judges the cost (toolCalls.length === 0, say) is handed it through answer, which is spread over the defaults.

Throws when the def declares no guardrail, rather than returning true: a spec calling this is asserting that a check exists, and a def that lost its guardrail should fail here, not pass by default. Throws when the guardrail returns a promise: this helper is for the SYNCHRONOUS guardrail, which is the ordinary one, and an async guardrail’s spec awaits def.guardrail(answer) itself — the verdict is then a promise a test can await, and nothing here would add to that.

SpeakerDef

string

Partial<DelegateAnswer>

GuardrailVerdict

import { speaker } from "@alexkroman1/aai";
import { runGuardrail } from "@alexkroman1/aai/testing";
const checker = speaker({
name: "fact-checker",
systemPrompt: "Open with Confirmed:, Contradicted: or Unclear:.",
guardrail: ({ text }) => /^(Confirmed|Contradicted|Unclear):/.test(text) || "Open with a verdict word.",
});
runGuardrail(checker, "Confirmed: the figure is 12%."); // true
runGuardrail(checker, "It seems prices fell."); // "Open with a verdict word."

runTextAgent(def, input, options): Promise<TextAgentTestRun>

Run one turn of def against script, and hand back what it did.

def must declare mode: "text" — createTextAgent refuses a voice agent by name, and this makes no exception, so a spec cannot accidentally measure an agent whose greeting and voice tuning are being silently dropped.

AgentDef

The agent definition, exactly as a deployment runs it.

string | readonly ModelMessage[]

The conversation, or a string standing for one user message.

RunTextAgentOptions

Promise<TextAgentTestRun>

import { agent } from "@alexkroman1/aai";
import { runTextAgent } from "@alexkroman1/aai-runtime/testing";
const desk = agent({ name: "Desk", mode: "text" }); // the prompt is system-prompt.md
const run = await runTextAgent(desk, "where is order 7?", {
script: [
{ text: "Let me check.", toolCalls: [{ name: "look_up", input: { id: "7" } }] },
{ text: "It shipped yesterday." },
],
});
console.log(run.text); // "Let me check.It shipped yesterday."
console.log(run.toolCalls[0]?.name, run.toolCalls[0]?.args);

whatever ended the model stream, rather than reporting a turn that silently produced nothing. A scripted stream fails only when something under it is broken, and a harness that swallowed that would report the broken path as an agent with nothing to say.


runTool<T>(tool, argsOrCtx?, ctx?): Promise<Awaited<ReturnType<T["execute"]>>>

Run a tool — the tool DEF itself, the way the runtime calls it.

TYPED end to end: the arguments are checked against what execute takes and the result is what it returns, so await runTool(addItem, { item: "apple" }, ctx) needs no cast. A tool FILE’s default export is the very object a deployed agent registers under its name, so importing it runs the same code the model’s call reaches. Matched on execute alone rather than on ToolDef, so any tool shape — tool(), slot.tool(), dialog.tool() — is accepted and keeps its own result type.

UNGATED: this calls the def’s own execute, as a unit test of the tool body wants. The run a spec cares about is usually the GATED one — a dialog out of state refuses it, a roster entry not on the line refuses it — which is what toolRunner binds to the agent, and what describeAgent hands a suite.

args is unvalidated on purpose: the runtime parses a model’s arguments against inputSchema BEFORE execute sees them, so a spec that pre-validated would be testing a path the tool never runs on. Pass the arguments the tool body expects to receive. (To test the SCHEMA itself, which is a different question, use parseToolInput / toolInputIssues.)

A tool that takes no arguments may say so by leaving them out, passing the context in their place: runTool(viewOrder, ctx). A no-argument tool is common — one shipped template has thirteen — and the {} those calls were obliged to pass appeared 66 times across seven template specs, always between the two values a reader actually cares about. The two are told apart by SHAPE, and the probe is narrow enough to be safe: a ToolContext is a record carrying a string sessionId, a slots store and a send function, and tool arguments arrive as JSON from a model, which cannot contain a function. A context is never a plausible argument object.

T extends object

T

The tool def: a tools/ file’s default export, a speaker’s tools entry, or a def built in the spec.

ToolContext | Parameters<T["execute"]>[0]

The tool’s arguments, or the ToolContext when it takes none. Defaults to {}.

ToolContext

The context. Defaults to a fresh createToolContext — so an omitted context is a DISTINCT SESSION with empty slots, which is what a stateless tool wants and never what two calls sharing state want. Pass one explicitly wherever the second call is supposed to see the first call’s work.

Promise<Awaited<ReturnType<T["execute"]>>>

import { tool } from "@alexkroman1/aai";
import { createToolContext, runTool } from "@alexkroman1/aai/testing";
import { z } from "zod";
// In a spec this is `import addItem from "./tools/add_item.ts"`.
const addItem = tool({
description: "Add an item",
inputSchema: z.object({ item: z.string() }),
execute: async ({ item }) => ({ added: item }),
});
const { added } = await runTool(addItem, { item: "apple" }, createToolContext());
console.log(added.toUpperCase()); // typed: `added` is a string
// No arguments, one session shared across the two calls.
const viewOrder = tool({ description: "View the order", execute: () => ({ items: [] }) });
const ctx = createToolContext();
await runTool(addItem, { item: "apple" }, ctx);
const { items } = await runTool(viewOrder, ctx);
console.log(items.length);

runWorkflow<P, R>(def, input, options?): Promise<WorkflowTestHandle<R>>

Start def with input and drive it until it finishes or parks.

Resolves a handle carrying the run’s status, output and journaled steps, with four methods for the things only a durable run can do — end a wait, answer a hook, survive a restart, and shut down.

The input is validated against def.input when the declaration has one, which is what ctx.workflows.start does on every real path: a body is written against a validated input, so handing it an unvalidated one tests a call that cannot happen.

Two forms. Handed a DEF, the run is named by the name the def was declared under (workflowNameOf, recorded when the agent declaring it was lowered — a virtual:aai/agent import), else "workflow"; there is no name option. Handed the AGENT and a workflow’s name — runWorkflow(agentDef, "digest", input), with agentDef from virtual:aai/agent — the def is the one the agent declares (or the build discovered in workflows/) under that name, and the run carries that name, so a body that reads ctx.workflow, starts a sibling by name or is found by ctx.workflows.find sees what a deployment would. An unknown name throws, listing the ones the agent has. A spec that asserts on the name (a signal token, ctx.workflow) uses the agent form, which is the one a deployment runs.

P extends ToolInputSchema

R

What the body returns, taken from the declaration.

WorkflowDef<P, R>

Record<string, unknown>

RunWorkflowOptions

Promise<WorkflowTestHandle<R>>

import { workflow } from "@alexkroman1/aai";
import { runWorkflow } from "@alexkroman1/aai-runtime/testing";
const digest = workflow({
description: "Summarize a link, then file it once it has settled.",
run: async (input, ctx) => {
const text = await ctx.step("read", () => `the page at ${String(input.url)}`);
await ctx.sleep("settle", 10_000);
return { text, filedAt: await ctx.step("file", () => "ok") };
},
});
const run = await runWorkflow(digest, { url: "https://example.com/a" });
// It slept rather than blocking, and said for how long.
console.log(run.status, run.wakeAt);
// And it resumes off the journal without re-running what it already did.
await run.advanceSleep();
console.log(run.status, run.output, run.deliveries);

The agent form: the name is checked against what the agent declares

import { agent, workflow } from "@alexkroman1/aai";
import { runWorkflow } from "@alexkroman1/aai-runtime/testing";
import { z } from "zod";
const digest = workflow({
input: z.object({ url: z.string() }),
run: async ({ url }, ctx) => ({ text: await ctx.step("read", () => `the page at ${url}`) }),
});
const agentDef = agent({ name: "Digest", workflows: { digest } });
const run = await runWorkflow(agentDef, "digest", { url: "https://example.com/a" });

runWorkflow<App, Name>(agent, name, input, options?): Promise<WorkflowTestHandle<WorkflowOutputOf<WorkflowDefOf<App, Name>>>>

Start def with input and drive it until it finishes or parks.

Resolves a handle carrying the run’s status, output and journaled steps, with four methods for the things only a durable run can do — end a wait, answer a hook, survive a restart, and shut down.

The input is validated against def.input when the declaration has one, which is what ctx.workflows.start does on every real path: a body is written against a validated input, so handing it an unvalidated one tests a call that cannot happen.

Two forms. Handed a DEF, the run is named by the name the def was declared under (workflowNameOf, recorded when the agent declaring it was lowered — a virtual:aai/agent import), else "workflow"; there is no name option. Handed the AGENT and a workflow’s name — runWorkflow(agentDef, "digest", input), with agentDef from virtual:aai/agent — the def is the one the agent declares (or the build discovered in workflows/) under that name, and the run carries that name, so a body that reads ctx.workflow, starts a sibling by name or is found by ctx.workflows.find sees what a deployment would. An unknown name throws, listing the ones the agent has. A spec that asserts on the name (a signal token, ctx.workflow) uses the agent form, which is the one a deployment runs.

App extends WorkflowAppLike

Name extends string

App

Name

Record<string, unknown>

RunWorkflowOptions

Promise<WorkflowTestHandle<WorkflowOutputOf<WorkflowDefOf<App, Name>>>>

import { workflow } from "@alexkroman1/aai";
import { runWorkflow } from "@alexkroman1/aai-runtime/testing";
const digest = workflow({
description: "Summarize a link, then file it once it has settled.",
run: async (input, ctx) => {
const text = await ctx.step("read", () => `the page at ${String(input.url)}`);
await ctx.sleep("settle", 10_000);
return { text, filedAt: await ctx.step("file", () => "ok") };
},
});
const run = await runWorkflow(digest, { url: "https://example.com/a" });
// It slept rather than blocking, and said for how long.
console.log(run.status, run.wakeAt);
// And it resumes off the journal without re-running what it already did.
await run.advanceSleep();
console.log(run.status, run.output, run.deliveries);

The agent form: the name is checked against what the agent declares

import { agent, workflow } from "@alexkroman1/aai";
import { runWorkflow } from "@alexkroman1/aai-runtime/testing";
import { z } from "zod";
const digest = workflow({
input: z.object({ url: z.string() }),
run: async ({ url }, ctx) => ({ text: await ctx.step("read", () => `the page at ${url}`) }),
});
const agentDef = agent({ name: "Digest", workflows: { digest } });
const run = await runWorkflow(agentDef, "digest", { url: "https://example.com/a" });

schemaInputIssues(schema, value, what?): Promise<readonly StandardSchemaIssue[] | undefined>

The issues schema found in value, or undefined when it accepted it.

The negative half of parseSchemaInput, and undefined-on-success is deliberate: expect(await schemaInputIssues(…)).toBeUndefined() is the accepting case and …toBeDefined() the refusing one, which is the pair every hand-rolled site was already writing against .issues.

StandardSchemaV1<unknown, unknown> | undefined

As parseSchemaInput: undefined throws rather than reporting “no issues”, which would make a negative test pass for a schema that does not exist.

unknown

string

How the schema is named in that error.

Promise<readonly StandardSchemaIssue[] | undefined>

import { workflow } from "@alexkroman1/aai";
import { schemaInputIssues } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import { z } from "zod";
const myWorkflow = workflow({
description: "Read a recording aloud",
input: z.object({ recording: z.string(), voice: z.enum(["jane", "paul"]) }),
run: async (input) => input,
});
test("an unknown voice is refused", async () => {
expect(await schemaInputIssues(myWorkflow.input, { voice: "not-a-voice" })).toBeDefined();
});

scriptedTextModel(steps): LanguageModel

A LanguageModel that answers one scripted step per model call.

Hand it to createTextAgent({ model }) — or to anything else that takes a resolved model, which is what the studio’s own coding-agent specs do — and the turn takes the production path with nothing faked below the provider socket: the real tool executor, the real ctx, the real step budget.

Past the end of the script it answers with an EMPTY step rather than throwing, for the reason createScriptedOneShotModel gives: a turn that took one step more than a spec expected should fail on the assertion that names the difference, not on a fake running dry.

readonly ScriptedTextStep[]

One entry per model call, in order.

LanguageModel

import { agent } from "@alexkroman1/aai";
import { createTextAgent } from "@alexkroman1/aai-runtime";
import { scriptedTextModel } from "@alexkroman1/aai-runtime/testing";
const chat = createTextAgent({
agent: agent({ name: "Desk", mode: "text" }),
model: scriptedTextModel([
{ text: "Let me check.", toolCalls: [{ name: "look_up", input: { id: "7" } }] },
{ text: "It shipped yesterday." },
]),
});
const turn = chat.stream({ messages: [{ role: "user", content: "where is order 7?" }] });
for await (const delta of turn.textStream) console.log(delta);

sessionEvent<K>(type, …rest): SessionEvent<K>

Build a well-formed session event of type, envelope included.

meta.id is minted as evt_test_<n> (the evt_ prefix is what the wire schema requires; the counter is per process and only has to be distinct) and meta.at is a FIXED instant, for the reason createRunSnapshot fixes its createdAt: a fixture that read the clock would not replay. Pass meta to pin either.

The fields are TYPED by the name: sessionEvent("tool.called", { … }) needs toolName, toolCallId and args, and a misspelled field is a compile error here rather than a handler reading undefined. An event that is only its envelope takes no fields.

K extends SessionEventType

K

…SessionEventRest<K>

SessionEvent<K>

import { sessionEvent } from "@alexkroman1/aai/testing";
const committed = sessionEvent("userTranscript.committed", { text: "two pizzas" });
committed.type; // "userTranscript.committed"
committed.meta.id.startsWith("evt_"); // true
// `sessionEvent("reply.completed").text` is a compile error: the event has no `text`.

stubClientInbox(options?): StubClientInbox

Publish an inbox whose device records every notice and answers it.

StubClientInboxOptions

StubClientInbox


stubClientTranscript(answer?): StubClientTranscript

Publish a reader that answers every stepClientTranscript with answer — a fixed transcript, or one computed per call (e.g. honouring the cursor). Omitted, every client has said nothing.

StubClientTranscriptAnswer

StubClientTranscript


stubDelegate(script): StubDelegate

Build a fake ctx.delegate from a script: one reply, or routes keyed by subagent name.

Pass { reply } to answer every delegation the same way, which is what a one-subagent tool wants.

StubDelegateScript

StubDelegate

Two subagents, one queue

import { createToolContext, stubDelegate } from "@alexkroman1/aai/testing";
const findings = ["Rain on Tuesday.", "Clear on Wednesday."];
const desk = stubDelegate({
routes: {
researcher: () => ({ text: findings.shift() ?? "Nothing found.", steps: 3 }),
"fact-checker": "Both claims check out.",
},
});
const ctx = createToolContext({ delegate: desk.delegate });
// … run the tool, then assert on who was asked what:
// expect(desk.calls.map((call) => call.subagent.name)).toEqual([…]);

stubFetchRoutes(routes, options?): StubFetchRoutes

Install one router as the global fetch (and, by default, the published step fetch), and return its log. Call restore when the test ends — in a vitest spec, onTestFinished(net.restore) right after the call.

Readonly<Record<string, StubStepAnswer | FetchRouteHandler>> | readonly FetchRouteHandler[]

A FetchRouteTable, or a list of handlers tried in order (the first that answers wins, and later ones are not consulted; a handler that throws is left alone). A catch-all leg goes LAST in a list.

FetchRoutesOptions

StubFetchRoutes

import { stubFetchRoutes } from "@alexkroman1/aai/testing";
const net = stubFetchRoutes({
"GET supabase.test": (req) => ({ body: req.searchParams.get("id") ? [{ id: 1 }] : [] }),
"POST supabase.test": { status: 201 },
"https://api.mem0.ai/v3/memories/": { body: { results: [] } },
});
await fetch("https://supabase.test/rest/v1/calls", { method: "POST", body: "{}" });
console.log(net.to("POST supabase.test").length); // 1
net.restore();

stubGateway(replies, options?): StubGateway

Build a fake LLM gateway answering replies in order, as a fetch for the caller to install on the GLOBAL fetch.

Three names, one fake, picked by SEAM:

You need Use
the global fetch, installed and undone for you (vitest) installStubGateway (@alexkroman1/aai/testing/vitest)
the global fetch, installed by you (any runner) stubGateway — this
a published stepFetch that other fakes share (a page, a transcription) stubGatewayRoute, composed into installStubStepFetch

The LAST reply repeats once the list runs out, so a spec names only the turns it cares about — which is what makes this usable for a step whose model call sits in a LOOP: a stub that says the same thing every turn can only ever drive such a loop into its budget, and one that runs out mid-loop fails on the stub rather than on the code.

string | readonly string[]

Completion contents, in order. A bare string is one reply.

StubGatewayOptions

StubGateway

workflows/digest.ts
import { stepGenerateJson } from "@alexkroman1/aai/step";
import { z } from "zod";
export const summarize = (article: string) =>
stepGenerateJson(`One headline for: ${article}`, { schema: z.object({ headline: z.string() }) });
// file: digest.test.ts
import { stubGateway } from "@alexkroman1/aai/testing";
import { expect, test, vi } from "vitest";
import { summarize } from "./workflows/digest.ts";
test("summarize sends the article and returns the headline", async () => {
const gateway = stubGateway(['{"headline":"Otters use tools"}']);
vi.stubGlobal("fetch", gateway.fetch);
vi.stubEnv("ASSEMBLYAI_API_KEY", "sk-test");
expect(await summarize("Otters use tools.")).toEqual({ headline: "Otters use tools" });
expect(gateway.calls[0]?.prompt).toContain("Otters use tools.");
});

stubGenerate(script): StubGenerate

Build a fake ctx.generate from a script: one reply, or routes keyed by system prompt.

A call whose system prompt names no route throws, naming it — an unscripted model call is a spec that has drifted from the tool, not a case to paper over. Pass { reply } to answer every call the same way, which is what a one-model tool wants.

StubGenerateScript

StubGenerate

Two model roles, one queue

import { createToolContext, stubGenerate } from "@alexkroman1/aai/testing";
const verdicts = ["yes", "no"];
const model = stubGenerate({
routes: {
"You grade documents.": () => ({ object: { score: verdicts.shift() ?? "yes" } }),
"You answer questions.": "The documented answer.",
},
});
const ctx = createToolContext({ generate: model.generate });
// … run the tool, then assert on the roles it played:
// expect(model.calls.map((call) => call.system)).toEqual([…]);

One model role

import { stubGenerate } from "@alexkroman1/aai/testing";
const model = stubGenerate({ reply: { object: { steps: ["Only step"] } } });
const answerer = stubGenerate({ reply: "The documented answer." });

stubPlaceCall(options?): StubPlaceCall

Publish a Twilio whose Calls API records every dial and answers it.

StubPlaceCallOptions

StubPlaceCall

import { stubPlaceCall } from "@alexkroman1/aai/testing";
const twilio = stubPlaceCall({ status: (call) => (call.polls < 2 ? "ringing" : "completed") });
// … run the workflow, then read what it dialled, as the answering session sees it:
console.log(twilio.calls[0]?.parameters.call);
twilio.restore(); // in an `afterEach`

stubReporter(): StubReporter

Capture what a step narrates and emits.

stepReport() and stepEmit() both go through a published slot, and with nothing published they fall back to the console — which is right for a step under test that nobody is asserting on, and useless the moment the narration IS the subject. It is for a step whose partial results are part of its contract: a fan-out that emits each segment as it lands has a page depending on the shape of those chunks, and nothing else in a spec can see them.

The two are separated the way the streams are, so a spec asserting a chunk never has to filter the sentences out of it.

import { stepEmit } from "@alexkroman1/aai/step";
import { stubReporter } from "@alexkroman1/aai/testing";
import { afterEach, expect, test } from "vitest";
const reported = stubReporter();
afterEach(reported.restore);
test("each segment is emitted as it lands", async () => {
await stepEmit("transcript", { index: 0, text: "hello there" });
expect(reported.emitted).toEqual([
{ namespace: "transcript", chunk: { index: 0, text: "hello there" } },
]);
});

Publishing REPLACES, so a spec that forgets to restore leaves this one answering the next file’s steps — the same rule stubStepFetch follows, and the same remedy.

StubReporter


stubSpeech(options?): StubSpeech

Publish a synthesizer that records what it was asked to say and answers with silence.

Silence rather than a tone, because nothing downstream of a step listens: a spec asserts on the TEXT that was spoken, the duration, and where the bytes went. Generating audible audio would only make the fixtures bigger.

StubSpeechOptions

StubSpeech


stubStepDelegate(script): StubStepDelegate

PUBLISH a fake runner, so an exported step that calls stepDelegate can be driven without a host.

stubDelegate with the slot filled in, and deliberately nothing more: the step-side and tool-side capabilities have the same signature because they are the same runner bound differently, so a spec routes them the same way and a template that moves a subagent from a tool into a step rewrites no fake.

An unpublished slot THROWS rather than degrading (see sdk/step-delegate.ts), which is what makes this the ONE way to test such a step — and why the failure an author meets first names this function.

StubDelegateScript

StubStepDelegate

import { stubStepDelegate } from "@alexkroman1/aai/testing";
const desk = stubStepDelegate({ routes: { researcher: "Prices fell 12% in 2025." } });
try {
// … call the exported step, then assert on `desk.calls`
} finally {
desk.restore();
}

stubStepFetch(answer?): StubStepFetch

Publish a fake stepFetch, so a step’s HTTP can be asserted without a server and without stubbing a global.

A step’s outbound call goes through a process-wide slot rather than globalThis.fetch (see stepFetch on @alexkroman1/aai/step for why — HTTP/1.1 pinning, and a fan-out that breaks on HTTP/2 stream resets), so this is the honest way to intercept it. vi.stubGlobal("fetch", …) still works, because an unpublished slot falls back to the global; it just tests a path production does not take, and it cannot see the request BODY as bytes.

answer may return a Response, or a { status, body, headers } shorthand, or throw — a throw is what a connection failure looks like, and stepFetch wraps it in a StepTransportError exactly as it would in production.

Returns restore, and calling it in an afterEach is not optional — a fetch left published makes the next file’s steps answer to this one’s handler. installStubStepFetch (@alexkroman1/aai/testing/vitest) is the same fake with that registration already done.

(request) => StubStepAnswer | Promise<StubStepAnswer>

Called per request with the recorded request. Defaults to an empty 200.

StubStepFetch

import { stepFetch } from "@alexkroman1/aai/step";
import { stubStepFetch } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
test("the step sends its credential", async () => {
const sync = stubStepFetch(() => ({ body: { text: "hello there" } }));
await stepFetch("https://sync.example.com/transcribe", {
headers: { Authorization: "sk-test" },
});
expect(sync.calls[0]?.headers.Authorization).toBe("sk-test");
sync.restore();
});

stubStepInfo(step): object

Answer stepInfo() for the step under test, so a body’s RETRY branch is reachable from a spec.

A step that degrades on its last attempt has two paths and a spec could only ever take one: outside a run stepInfo() answers undefined, which a body reads as “not retrying”. So the branch that exists precisely for the case that goes wrong was the branch no test could enter — and it is the one whose failure is quiet, since a body that mis-reads the ceiling degrades early on every run and still returns an answer.

import { stubStepInfo } from "@alexkroman1/aai/testing";
import { onTestFinished, expect, test } from "vitest";
declare function summarizeChapter(text: string): Promise<string>;
test("falls back to the cheap model on the last attempt", async () => {
const stub = stubStepInfo({ attempt: 3, maxAttempts: 3 });
onTestFinished(stub.restore);
expect(await summarizeChapter("…")).toContain("…");
});

isLastAttempt is DERIVED from the two numbers rather than accepted, for the reason the real reader derives it: a fake that let a spec set attempt: 1 and isLastAttempt: true would let a body pass against a state no run can be in.

Publishing REPLACES, so a spec that forgets to restore leaves this answering the next file’s steps — the same rule stubReporter follows, and the same remedy.

number

1-based. Defaults to 1.

number

Defaults to whichever is larger of 3 (the SDK’s own default) and attempt.

string

Defaults to "step".

object

() => void


stubTranscribe(options?): StubTranscribe

Answer AssemblyAI’s transcription endpoints in memory, and record what was sent.

Covers all four calls — the async trio (stepTranscribeUpload, stepTranscribeSubmit, stepTranscribePoll) and stepTranscribeSync — so a workflow that uploads, submits, polls and reads is testable end to end without naming upload_url, audio_duration or status: "completed" anywhere in the spec.

What it does NOT do is stand in for the upload STORE: stepTranscribeUpload streams the recording out of the app’s own store, so a spec still publishes one with stubUploads. The two fakes fill different slots and compose.

StubTranscribeOptions

StubTranscribe

A whole async job, in one line of setup

workflows/transcribe.ts
import {
stepReadUpload,
stepTranscribePoll,
stepTranscribeSubmit,
stepTranscribeSync,
stepTranscribeUpload,
} from "@alexkroman1/aai/step";
import { orFail } from "@alexkroman1/aai/step-errors";
export async function transcribeRecording(uploadId: string) {
const { audioUrl } = await stepTranscribeUpload(uploadId);
const { id } = await stepTranscribeSubmit(audioUrl);
let progress = await stepTranscribePoll(id);
while (!progress.done) progress = await stepTranscribePoll(id);
return progress.transcript.text;
}
export async function transcribeSegment(uploadId: string, segment: { start: number; end: number }) {
const { bytes } = await stepReadUpload(uploadId, segment);
return orFail(stepTranscribeSync)(bytes);
}
// file: transcribe.test.ts
import { RetryableError } from "@alexkroman1/aai/step-errors";
import { stubTranscribe, stubUploads } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import { transcribeRecording, transcribeSegment } from "./workflows/transcribe.ts";
test("a whole async job, in one line of setup", async () => {
const uploads = stubUploads({ upl_1: new Uint8Array(5000) });
const provider = stubTranscribe({ text: "we ship tuesday", durationSec: 42 });
expect(await transcribeRecording("upl_1")).toBe("we ship tuesday");
// The file really streamed: `stubStepFetch` drains the body into bytes.
expect(provider.calls.find((call) => call.leg === "upload")?.body).toBeInstanceOf(Uint8Array);
provider.restore();
uploads.restore();
});
test("a rate limit, classified by the SDK rather than by the fake", async () => {
const uploads = stubUploads({ upl_1: new Uint8Array(5000) });
const provider = stubTranscribe({
failure: { leg: "sync", status: 429, retryAfterSeconds: 30 },
});
// `toStepError` reads `retryable` and `retryAfter` off the real TranscribeError.
await expect(transcribeSegment("upl_1", { start: 0, end: 1000 })).rejects.toBeInstanceOf(
RetryableError,
);
provider.restore();
uploads.restore();
});

stubUploads(files, options?): StubUploads

Publish an in-memory upload store, so a step that calls stepReadUpload can be tested without a server.

A step reads uploads through a process-wide slot rather than dialling anything, which is what makes this possible at all: a spec supplies its own bytes and the step under test is unchanged.

Returns a StubUploads — restore, plus what a step WROTE. Calling restore in an afterEach is not optional; a store left published makes the next file’s steps read this one’s bytes, which is the kind of cross-file leak that presents as a passing test somewhere else.

Readonly<Record<string, StubUpload>>

Keyed by upload id — the same string a run input would carry.

StubUploadsOptions

StubUploads

import { stubUploads } from "@alexkroman1/aai/testing";
const uploads = stubUploads({ upl_1: new Uint8Array([1, 2, 3]) });
// … call the step …
uploads.restore();
// A streamed upload mid-flight: `stepReadUpload` comes back short and
// `stepUploadInfo(...).complete` is false, which is what a polling body sees.
const firstHalf = new Uint8Array([1, 2]);
stubUploads({ upl_2: { bytes: firstHalf, complete: false } }).restore();

What a step wrote, without reading it back through the slot

import { stepWriteUpload } from "@alexkroman1/aai/step";
import { stubUploads } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
test("the step files its summary", async () => {
const uploads = stubUploads({}, { writable: true });
await stepWriteUpload(new Uint8Array(16), { name: "summary.wav", type: "audio/wav" });
expect(uploads.writes.map((one) => one.name)).toEqual(["summary.wav"]);
uploads.restore();
});

toolInputIssues(tool, value): Promise<readonly StandardSchemaIssue[] | undefined>

The issues tool’s input schema found in value, or undefined.

The negative half of parseToolInput — the assertion behind “a mood outside the enum is refused by the schema”, which is the one thing standing between an LLM’s untyped tool call and the tool body. Takes the def, as parseToolInput does.

ToolDef<ToolInputSchema>

unknown

Promise<readonly StandardSchemaIssue[] | undefined>

When the tool declares no inputSchema. A tool that takes no arguments accepts anything, and saying so out loud beats answering undefined — which reads as “accepted”.

tools/recommend.ts
import { tool } from "@alexkroman1/aai";
import { z } from "zod";
export default tool({
description: "Recommend something for tonight",
inputSchema: z.object({ mood: z.enum(["cozy", "tense", "silly"]) }),
execute: ({ mood }) => ({ picks: [mood] }),
});
// file: agent.test.ts
import { toolInputIssues } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import recommend from "./tools/recommend.ts";
test("recommend refuses a mood off its list", async () => {
expect(await toolInputIssues(recommend, { mood: "melancholy" })).toBeDefined();
});

toolNameOf(def): string

The name the model calls def by — the tools/<name>.ts file it was discovered from, or the key it sits under on a speaker’s tools map.

Only a def an agent LOWERED has one. A file tool is named when the agent is imported as DEPLOYED (virtual:aai/agent under vitest, deployedAgent under any other runner); a roster tool is named when agent({ roster }) runs, i.e. when agent.ts is imported at all. A def built inline in a spec has never been lowered, so it has no name, and the throw says so.

ToolDef<ToolInputSchema>

string

When def was never lowered onto an agent.

agent.ts
import { agent } from "@alexkroman1/aai";
export default agent({ name: "Orders" });
// file: tools/place_order.ts
import { tool } from "@alexkroman1/aai";
import { z } from "zod";
export default tool({
description: "Place the order",
inputSchema: z.object({ item: z.string() }),
execute: ({ item }) => ({ placed: item }),
});
// file: agent.test.ts
import { deployedAgent, toolNameOf } from "@alexkroman1/aai/testing";
import { expect, test } from "vitest";
import authored from "./agent.ts";
import placeOrder from "./tools/place_order.ts";
// Lowering the agent is what records the names; under vitest, importing it
// as `virtual:aai/agent` does the same.
deployedAgent(authored, { tools: import.meta.glob("./tools/*.ts", { eager: true }) });
test("the model calls the tool by its file name", () => {
expect(toolNameOf(placeOrder)).toBe("place_order");
});

toolOf(agent, name): ToolDef

The tool name is declared under, or a throw naming the ones that are.

The LOOKUP, for a spec asserting on what the agent declares — a description, a schema, a tool the roster minted and no file exports (HANDOFF_TOOL_NAME). To RUN a tool, hand its def to runTool or to the runner toolRunner binds; the def a tools/ file default-exports is the object the deployed agent registered, so no name is needed to find it.

A tool is a FILE, so agent.ts’s default export declares no tools at all — import the agent as DEPLOYED, exactly as this example does and as every shipped template’s spec does: virtual:aai/agent under vitest, or deployedAgent (@alexkroman1/aai/testing) under any other runner. Handing this the authored def directly is the common mistake, and it fails with “(none)”.

ToolBearingAgent

string

ToolDef

import agentDef from "virtual:aai/agent";
import { toolOf } from "@alexkroman1/aai/testing";
import { expect } from "vitest";
expect(toolOf(agentDef, "add_item").description).toContain("cart");

toolRunner(agent): ToolRunner

runTool bound to one agent and GATED by it — the run(...) a spec actually calls, and what describeAgent hands its body.

A spec drives one agent, so agentDef is the same in every call and the tool is the thing that varies. Binding the agent is what lets the run go through the agent’s own gates: the def is found in the table by identity, its toolset’s gate is asked first, and a refusal comes back as the result — a dialog out of state, a roster entry whose speaker is not on the line. The bare runTool calls the def’s execute directly, gate and all skipped, which is the unit test of a tool body and not the test of the agent.

The runner is stateless and holds only the agent, so one per spec file at the top level is the shape: each call still defaults to a FRESH context, i.e. a distinct session with empty slots. Pass a context explicitly wherever the second call is meant to see the first call’s work — see runTool.

ToolBearingAgent

ToolRunner

tools/add_item.ts
import { tool } from "@alexkroman1/aai";
import { z } from "zod";
export default tool({
description: "Add an item to the order",
inputSchema: z.object({ item: z.string() }),
execute: ({ item }) => ({ added: item }),
});
// file: tools/view_order.ts
import { tool } from "@alexkroman1/aai";
export default tool({
description: "View the order",
execute: () => ({ items: ["apple"] }),
});
// file: agent.test.ts
import agentDef from "virtual:aai/agent";
import { createToolContext, toolRunner } from "@alexkroman1/aai/testing";
import { expect } from "vitest";
import addItem from "./tools/add_item.ts";
import viewOrder from "./tools/view_order.ts";
const run = toolRunner(agentDef);
const { added } = await run(addItem, { item: "apple" }); // typed: `added` is a string
expect(added).toBe("apple");
// No arguments, one session shared across the two calls.
const ctx = createToolContext();
await run(addItem, { item: "apple" }, ctx);
expect(await run(viewOrder, ctx)).toEqual({ items: ["apple"] });

A runner over an agent with NO tools is refused HERE, rather than at the first run(...). A tool is a file, so agent.ts’s default export declares an empty table and every call through such a runner fails identically — the mistake is the argument on this line, and reporting it at a call site several dozen lines away names the symptom instead. It is the one shape that cannot be a legitimate runner: a runner exists to reach the agent’s tools, and there are none to reach. Reach for toolOf or runTool directly if a spec really means to assert on an empty table.

Sealed

What expectDeployable hands back: the RESOLVED config a deploy carries, narrowed to the fields a starter spec asserts on.

Not the whole AgentConfig, on purpose. That type is inferred from the canonical config SCHEMA, so returning it put the schema — every serializable agent field, each with its own validation shape — into this subpath’s contract, and a new agent field moved a TEST helper’s hash. These are the fields the shipped specs read; the object returned is the real config, so a spec that needs one more can read it off toAgentConfig (@alexkroman1/aai/manifest) directly.

mode is always present: expectDeployable refuses a conversion that derived none.

readonly optional builtinTools?: readonly BuiltinTool[]

The builtins the agent declares (absent: the default surface).

readonly optional llm?: DeployedStage

The LLM stage — declared, or the injected default in pipeline mode.

readonly optional mcpServers?: Readonly<Record<string, Readonly<Record<string, unknown>>>>

The MCP servers whose tools join the agent’s own, by key.

readonly mode: AgentMode

The agent’s mode, as the deploy carries it.

readonly name: string

The name the platform lists the agent under.

readonly optional requiredEnv?: readonly string[]

The env var names a deploy preflights.

readonly optional s2s?: DeployedStage

The speech-to-speech descriptor, for an s2s agent.

readonly optional stt?: DeployedStage

The STT stage — declared, or the injected default in pipeline mode.

readonly systemPrompt: string

The system prompt a deploy carries — the author’s string, or the framework default when there is none. A RESOLVER is not carried (it cannot be serialized), so an agent with one reads the default here.

readonly optional tts?: DeployedStage

The TTS stage — declared, or the injected default in pipeline mode.

readonly optional turnTaking?: object

Pipeline turn-taking — detection: "manual" is push-to-talk.

readonly optional detection?: string

readonly optional usageLimits?: object

The session’s token budget, when it declares one.

readonly optional totalTokens?: number


Sealed

One provider stage of a DeployedConfig — the descriptor as it will be deployed: its kind, and its options exactly as serialized.

readonly kind: string

The provider the stage resolves through, e.g. "assemblyai".

readonly optional options?: Readonly<Record<string, unknown>>

The descriptor’s options, as they cross the wire.


Sealed

One ctx.speech.say a createToolContext context recorded.

readonly interrupt: boolean

Whether it asked to cut the agent off first ({ interrupt: true }).

readonly interruptible: boolean

false when it asked not to be cut off by the caller ({ interruptible: false }).

readonly record: boolean

false when it asked to stay out of history ({ record: false }).

readonly text: string

The text, exactly as passed.


Sealed

One ctx.send(event, data) call that would REACH the client, as recorded by createToolContext — see the send default for what is left out.

data: unknown

event: string


Sealed

A fake ctx.delegate: the function to pass, and what it was asked.

calls: StubDelegateCall[]

Every call, in order.

delegate: DelegateFn

Pass as delegate to createToolContext.


Sealed

One ctx.delegate call, as recorded by stubDelegate.

options: DelegateOptions

The whole options object, for asserting context and maxSteps.

subagent: SpeakerDef

The subagent that was asked.

task: string

The task it was given.


Sealed

A fake gateway: the fetch to install, and what it was asked.

calls: StubGatewayCall[]

Every request, in call order.

fetch: (url, init?) => Promise<Response>

Install with vi.stubGlobal("fetch", gateway.fetch).

string | URL | Request

RequestInit

Promise<Response>


Sealed

One request a StubGateway answered.

body: Record<string, unknown>

The whole decoded request body, for asserting model, temperature, …

headers: Record<string, string>

The request headers, lower-cased.

Worth asserting rather than assuming: the gateway is OpenAI-compatible and takes the key as a Bearer, where AssemblyAI’s streaming sockets take it raw — and getting that backwards is a 401 that reads like a wrong key.

prompt: string

The user message — what the step actually asked.

system: string | undefined

The system instruction, or undefined when the step sent none.

url: string

The endpoint the call went to, so a spec can assert the gateway URL.


Input

Options for stubGateway.

optional headers?: Record<string, string>

Extra response headers — Retry-After is the one specs reach for.

optional status?: number

HTTP status to answer with. Defaults to 200. A non-2xx answers with an error body, which is what stepGenerate (@alexkroman1/aai/step) quotes back in its StepGenerateError.


Sealed

A fake ctx.generate: the function to pass, and what it was asked.

calls: StubGenerateCall[]

Every call, in order.

generate: GenerateFn

Pass as generate to createToolContext.


Sealed

One ctx.generate call, as recorded by stubGenerate.

options: GenerateOptions

The whole options object, for asserting llm, temperature, schema, …

prompt: string

The user prompt — what the tool actually asked.

system: string | undefined

The system instruction, or undefined when the call carried none.


Input

Session-fixed configuration for createTextAgent.

The fields every way of running an agent shares are HostAgentOptions. Here: agent must declare mode: "text"; providerEnv defaults to env, split for the reason RuntimeOptions splits them (a host-fallback env may resolve a model and must never become ctx.env); an absent workflows substitutes a client that rejects with the reason; fetch is for tests (see BuiltinToolOptions); logger defaults to consoleLogger; and a text agent whose tools install packages or type-check a workspace wants a larger toolTimeoutMs than the 30s voice-turn default.

agent: AgentDef

The agent to run — an ordinary agent() definition.

HostAgentOptions.agent

optional db?: Db

Accepted and currently UNUSED — a text agent’s tools receive no database. There is no ctx.db: the context this builds carries the same eleven fields a voice session’s tools get, none of them a SQL handle. Kept on the options bag so a caller that already passes one still compiles.

optional env?: AgentEnv

Tenant-owned env: what tool code reads as ctx.env, and — unless providerEnv overrides it — where the LLM credential is read from.

optional fetch?: {(input, init?): Promise<Response>; (input, init?): Promise<Response>; }

The fetch the builtin web tools use (web_search, visit_webpage, get_page_design, fetch_json). Defaults to an SSRF-screened fetch. Pass one to keep a spec or an eval case off the network.

(input, init?): Promise<Response>

MDN Reference

URL | RequestInfo

RequestInit

Promise<Response>

(input, init?): Promise<Response>

MDN Reference

string | URL | Request

RequestInit

Promise<Response>

HostAgentOptions.fetch

optional logger?: Logger

Structured logger. Each entry point documents its own default.

HostAgentOptions.logger

optional model?: LanguageModel

Pre-resolved model, bypassing descriptor resolution entirely. For a caller that already holds a LanguageModel (and for tests, which is the majority use — a text agent’s whole observable behaviour is what it sends the model).

optional onEvent?: (event) => void

Where this conversation’s typed events go — the same SessionEvent stream a voice session emits, narrowed to what a text agent can honestly report, so every reader in @alexkroman1/aai-runtime/eval and every assertion built on them works over a text turn unchanged.

ADDITIVE, and deliberately so: TextAgent.stream still returns the vendor’s StreamTextResult and nothing about it changes. A chat surface consumes that; this is for whoever is GRADING or auditing the agent. text-agent/events.ts carries which events are emitted, which eleven are not, and why the turn terminator fires exactly once.

Conversation-scoped, and the envelope carries no turn coordinate (see protocol-events.ts, which argues that absence), so two overlapping stream() calls on ONE text agent interleave into one stream with nothing to tell them apart. A caller that needs them separate builds a text agent per turn — which is what runTextAgent does.

SessionEvent

void

optional providerEnv?: ProviderEnv

Where provider credentials (STT/TTS/LLM) are resolved from, when that is not the agent’s own env.

Exists so a host can let shell-exported credentials reach the provider resolvers without also placing them in ctx.env, where agent tool code could read them and come to depend on host-level variables that do not exist in production. Each entry point documents its own default.

HostAgentOptions.providerEnv

optional runCode?: RunCodeExecutor

Isolated executor for the run_code builtin: the guest’s in-sandbox one on the platform, or the zero-permission Deno one aai dev/aai start pass under AAI_RUN_CODE=deno. Without one the builtin is registered and permanently refuses — nothing here evaluates code in the host process.

HostAgentOptions.runCode

optional sessionId?: string

Conversation identity for ctx.sessionId and the session’s slots. Defaults to a fresh id per text agent — one instance is one conversation, which is what makes a slot mean the same thing here as in a session.

optional toolTimeoutMs?: number

Per-tool-call deadline. Defaults to TOOL_EXECUTION_TIMEOUT_MS (30s), which is a VOICE-turn budget: a caller waiting on speech has left by then. A tool whose work legitimately outruns it — a graded retrieval loop making eleven model calls, measured at 22-30s — needs this raised, and that is the caller’s trade to make.

HostAgentOptions.toolTimeoutMs

optional workflows?: WorkflowClient

ctx.workflows, supplied rather than built — what a tool that starts a durable run calls.

Absent, a workflow-declaring agent gets the client the runtime assembles itself, which is what every deployment wants. An eval supplies the in-process client openEvalWorkflows builds, because a "use workflow" body imported through a test runner was never through the compiler’s transform and the real engine cannot start it.

HostAgentOptions.workflows


Input

Per-turn parameters for TextAgent.stream.

optional maxSteps?: number

Overrides the agent’s maxSteps for this turn.

messages: ModelMessage[]

The conversation so far, in AI SDK ModelMessage form.

optional onStepFinish?: (step) => void | Promise<void>

Fires after each completed step, with that step’s result.

StepResult<ToolSet>

void | Promise<void>

optional prepareStep?: PrepareStepFunction<ToolSet>

Per-step hook, composed WITH this module’s own: whatever it returns is applied first, and the forced final answer is layered over the result, so a caller may rewrite the step’s messages (compaction, an injected notice) without being able to hand the model tools on the step the budget reserved for answering.

optional signal?: AbortSignal

Aborts the LLM stream and every in-flight tool call.

optional stopWhen?: readonly (options) => boolean | PromiseLike<boolean>[]

Extra stop conditions, ANDed into the step budget as alternatives — a wall-clock deadline is the usual one, since a step cap says nothing about how long a caller waits.

optional systemPrompt?: string

Overrides the agent’s systemPrompt for this turn.

optional temperature?: number

Overrides the agent’s temperature for this turn.

optional toolChoice?: ToolChoice

Overrides the agent’s toolChoice for this turn.

Db = object

Input

The one-method SQL handle the runtime’s own stores take — session slots, the workflow journal and its key index (RuntimeOptions.db).

DECLARED here rather than re-exported from the SDK: the SDK’s identical Db is on its non-semver /internal subpath, and a contracted signature naming it would hash only the name. Structurally the same type, so either is assignable to the other.

query<T>(sql, params?): Promise<T[]>

Run one parameterized statement and answer its rows.

T = Record<string, unknown>

string

unknown[]

Promise<T[]>


FetchRouteHandler = (request) => StubStepAnswer | undefined | Promise<StubStepAnswer | undefined>

A route: answers a request with a Response or the { status, body, headers } shorthand stubStepFetch takes — or undefined to DECLINE, leaving it to the next route (in a list) or to FetchRoutesOptions.unmatched.

stubGatewayRoute().route is one, so a model leg sits in a list beside a spec’s own.

FetchRouteRequest

StubStepAnswer | undefined | Promise<StubStepAnswer | undefined>


FetchRouteHit = FetchRouteRequest & object

Sealed

One request the router saw, whatever became of it.

readonly outcome: "routed" | "passthrough" | "unmatched" | string & object

Answered by a route, sent to the real network, or answered by nothing.

readonly optional route?: string

The table key that answered it (a list’s routes have none).

readonly optional status?: number

The response’s status, for a request that got one.

readonly via: "fetch" | "stepFetch" | string & object

Which fetch it arrived through.


FetchRouteRequest = StubStepRequest & object

Sealed

One request as a route sees it: the recorded request (url, method, headers, body — the same fields stubStepFetch records) plus the parts a route branches on, already parsed.

readonly host: string

new URL(url).hostname.

readonly json: unknown

The body parsed as JSON when it parses; undefined otherwise (and for none).

readonly pathname: string

new URL(url).pathname.

readonly searchParams: URLSearchParams

new URL(url).searchParams — PostgREST filters, query strings.


FetchRoutesOptions = object

Input

What stubFetchRoutes may be told.

optional globalFetch?: boolean

Install the router as the global fetch too (the default). Pass false to route ONLY the step fetch and leave the global untouched — for an eval whose live mode sends the voice model’s own traffic over the global while its steps stay scripted.

optional passThrough?: RegExp

URLs that reach the REAL network before any route is consulted, tested against the full URL — e.g. /^https://[^/]*assemblyai\.com// for a live model’s own traffic.

optional stepFetch?: boolean

Publish the router as the step fetch too (the default), so a step’s stepFetch lands in the same routes and the same log as a tool’s fetch. Pass false for a spec that installs its own step fetch.

optional unmatched?: "throw" | "notFound" | "passthrough"

What a request no route answers means.

  • "throw" (the default) — a finding: the fetch rejects naming the method and URL, the way an unreachable host does, and the request is logged with outcome: "unmatched". An invented 200 {} reads to a tool as success, so the spec would pass having tested the wrong branch.
  • "notFound" — a real 404, for a spec whose subject is one.
  • "passthrough" — the REAL network. Rarely right in a unit test.

FetchRouteTable = Readonly<Record<string, FetchRouteHandler | StubStepAnswer>>

Routes by where they answer. A key is an optional METHOD, then one of:

  • a HOST — "api.mem0.ai" — matching that hostname exactly;
  • a WILDCARD host — "*.example" — matching any subdomain of it;
  • a URL PREFIX — "https://api.mem0.ai/v3/memories/" — matching any URL that starts with it.

So "POST textbelt.com" answers only a POST. The most specific key answers: a URL prefix (longest first), then an exact host, then a wildcard (longest first); a METHOD-qualified key beats the same key without one. A value is a FetchRouteHandler, or a fixed answer given to every request it matches.


FiredEvent = object

Sealed

What fireEvent reports: how many handlers the event reached.

readonly dialogs: readonly string[]

The keys of the declared dialogs the event MOVED — one whose on map names it ("@session.timedOut": "abandoned") and whose active state handles it. Every declared dialog is offered the event, before the handlers, as the session offers it.

readonly typed: boolean

The per-type handler ran.

readonly wildcard: boolean

The "*" handler ran, after the typed one.


ProjectFiles = object

Input

What the BUILD lowers onto an agent.ts default export — the files beside it that a deployed agent runs with and a spec has to apply itself.

Both fields are optional and at least one must be present: an empty object is a call that does nothing, which is the shape of a forgotten argument rather than of a project with no files.

readonly optional systemPrompt?: string

import prompt from "./system-prompt.md?raw".

Omit it for a project with no system-prompt.md. Passing it to a def the file was already applied to leaves that def exactly as it is, so a spec never has to know whether its def is the raw agent.ts export or a lowered one.

readonly optional tools?: Readonly<Record<string, unknown>>

import.meta.glob("./tools/*.ts", { eager: true }), written at the CALL SITE — see the module doc for why it cannot be a directory string.

Omit it for a project with no tools/ directory. Passing an EMPTY glob is an error, not a no-op: see deployedAgent.

Spelled out rather than named as ToolModules (the same type, on /manifest): the value is a glob result, not something a spec names, so /testing exports no alias for it and a named one would be a declaration no capability owns.

readonly optional workflows?: Readonly<Record<string, unknown>>

import.meta.glob("./workflows/*.ts", { eager: true }), written at the call site like tools. A module default-exporting a workflow() def is registered under its file name, an explicit agent({ workflows }) entry winning a clash; the rest of the directory (a body’s helpers) is skipped, so unlike tools an empty or helper-only result is not an error.


RecordedSignal = object

Sealed

One signalRun as a tool made it.

key: string

label: string

options: SignalOptions | undefined

payload: unknown

workflow: string

The workflow’s declared name.


RecordedSleep = object

Sealed

One wait the body asked for — and did NOT take.

optional correlationId?: string

label: string

The wait’s label — its identity in a real run’s journal, and the field a case asserting a SCHEDULE actually wants: a body with two waits is telling you WHICH one it reached, which a duration cannot.

until: number | Date

Exactly what the body passed: milliseconds, or a Date.


RecordedStart = object

Sealed

One start the client recorded.

readonly def: AnyWorkflowDef | undefined

The def passed, when one was (undefined for a start by name).

readonly input: unknown

The input, exactly as the tool passed it — not validated, since nothing runs.

readonly options: StartOptions | undefined

The start options (key, label, notify, …), when any were passed.

readonly runId: string

The run id start resolved with.

readonly workflow: string

The declared name — the key in agent({ workflows }) — or the string passed.


RecordedStep = object

Sealed

One step the body reached, as the recorder saw it.

optional maxAttempts?: number

What the body asked for, or undefined when it passed no options.

optional maxWaits?: number

The step’s wait budget (StepOptions.maxWaits), or undefined when none was asked for.

name: string


RouteContextOverrides = { [K in keyof RouteContext]?: RouteContext[K] }

Input

What createRouteContext accepts: a field per RouteContext field, each also taking undefined for one the caller does not have.


RunSnapshotOverrides<R> = Partial<WorkflowRunBase> & { status?: undefined; } | WorkflowRunSnapshot<R> extends infer S ? S extends unknown ? Omit<S, keyof WorkflowRunBase> : never : never

What createRunSnapshot accepts: the shared fields, plus whatever the chosen status requires.

The status-bearing half is DERIVED from WorkflowRunSnapshot’s own union, arm by arm, so asking for status: "completed" without an output is a compile error rather than a fixture that lies — and an arm the snapshot grows is one this accepts without a second edit.

R = unknown

The workflow’s return type, when the caller names it.


RunTextAgentOptions = Omit<TextAgentOptions, "agent" | "model"> & Pick<TextTurnOptions, "signal" | "systemPrompt" | "maxSteps" | "temperature" | "toolChoice"> & object

Input

What runTextAgent takes, beyond the definition and the conversation.

The agent half is TextAgentOptions MINUS the two things this helper supplies — derived by subtraction rather than restated, for the reason server/agent-server-forwarding.ts exists in this package: every field of that type is optional, so an omission is valid TypeScript and presents as a harness quietly ignoring part of its own configuration. A capability added to a text agent is reachable from here the day it lands.

The turn half is deliberately NOT the whole of TextTurnOptions. stopWhen, prepareStep and onStepFinish are hooks a chat surface installs, and a caller that wants one is past the point where a one-call convenience helps — it builds the agent with createTextAgent and streams the turn itself.

readonly script: readonly ScriptedTextStep[]

One entry per model call — see ScriptedTextStep.

Required, because a run with no script is a run against a model that answers nothing, which is a spec asserting on silence by accident.


RunWorkflowOptions = object

Input

What runWorkflow takes.

The run’s NAME is not an option: it is the name the def is registered under — runWorkflow(agentDef, "digest", input) names it, and a bare def runs under the name its agent declared it with (workflowNameOf), else "workflow". A spec that asserts on ctx.workflow or on a signal token uses the agent form.

optional crashAt?: string

Kill the first delivery that reaches this step, before its body runs.

A worker that died mid-run, which is the one durable-execution failure a body cannot be written against without being able to produce it. It fires ONCE and then disarms, so restart resumes rather than crashing again.

The kill lands after the step’s attempt has been CHARGED and before its body runs, which is exactly where a real death lands — the charge is what a resume reads to tell an abandoned attempt from one that never started.

optional journal?: WorkflowJournal

The journal the run lives in. Defaults to a fresh in-memory one.

Pass a previous run’s journal (or a createMemoryJournal() of your own) to start two runs in the same world.

Two LIVE runs of one workflow in one world need distinct keys. A signal token is derived from the workflow, the key and the label, so two parked runs under one key hold the same tokens and a signalRun() meant for one reaches the other. Both default to "test", so the driver REFUSES a second run under a key that still has a live run of the same workflow in the journal handed in — pass key on the second, or let the first settle.

optional key?: string

The correlation key the run is started with — StartOptions.key, which the body reads as ctx.key and ctx.signalToken/ctx.waitForSignal derive their token from. Defaults to "test", so a keyed body runs out of the box; a spec asserting on the key passes its own.

optional logger?: Logger

Where the engine logs. Defaults to silence.

optional maxDeliveries?: number

How many deliveries the driver may make before it gives up.

A bound rather than a timeout: a body that suspends and is woken in a loop would otherwise spin, and a spec that hangs reports the runner’s timeout instead of the loop. Defaults to DEFAULT_MAX_DELIVERIES.


ScriptedTextStep = object

Input

One step of a scripted turn: what the model says, and what it calls.

A step with tool calls finishes as tool-calls, so the agent runs them and comes back for the next step; a step without them ends the turn. That makes a tool-calling turn the obvious two-entry script — the call, then the answer — and a plain reply a one-entry one.

readonly optional text?: string

What the model streams as text on this step. Absent streams none.

readonly optional toolCalls?: readonly ScriptedToolCall[]

The tool calls the model makes on this step, in order.


ScriptedToolCall = object

Input

One tool call in a ScriptedTextStep.

readonly optional id?: string

The call id. Defaults to call-1, call-2, … across the whole script.

Worth naming only when a spec asserts on the id itself — everything a turn reports carries it, so two calls of one tool are already distinguishable without one.

readonly optional input?: Record<string, unknown>

The arguments, as an object.

Serialized to the JSON string the wire carries, so a spec writes the arguments it means and the real coercion, Standard Schema validation and repair path (tools/call-repair.ts) all still run on the way in — which is the point of scripting a MODEL rather than calling execute directly. Defaults to {}.

readonly name: string

The tool’s name, as the agent’s tools record keys it.


SessionEventFields<K> = { [T in K]: Omit<SessionEventMap[T], “type” | “meta”> }[K]

The fields of one event beyond its envelope — what sessionEvent takes after the type: the member of SessionEventMap minus type and meta. Distributes over K, so each member keeps its own fields.

K extends SessionEventType


SessionEventRest<K> = keyof SessionEventFields<K> extends never ? [SessionEventFields<K>, Partial<SessionEventMeta>] : [SessionEventFields<K>, Partial<SessionEventMeta>]

The trailing parameters of sessionEvent: [meta?] for an envelope-only event, [fields, meta?] for one with a payload. An event that is only its envelope (reply.completed) takes no fields argument at all, so sessionEvent("reply.completed") is the whole call rather than sessionEvent("reply.completed", {}).

K extends SessionEventType


SlotContractOptions<T> = object

Input

What expectSlotContract may be told.

T

readonly optional caps?: Readonly<Record<string, number>>

The caps to check — each top-level array key and the most entries it keeps. Defaults to what the slot DECLARED (slot.caps); given, each is driven past its bound and the surviving entries must be the NEWEST ones, and a bound that differs from the declared one fails naming both.

readonly optional write?: (draft) => void

A mutation that CHANGES the value — what the isolation check writes through one session to prove the other does not see it. Optional: without it the check is that two sessions hold distinct values of the default, which catches a shared default object and nothing subtler. A write that leaves the value equal to the default is refused, because it proves nothing.

T

void


StubClientInbox = object

Sealed

What stubClientInbox returns: the call log, and how to put the slot back.

restore(): void

Unpublish the inbox. Call it in an afterEach, like stubSpeech’s.

void

calls: StubClientInboxCall[]

Every notice pushed, in order — including those the device did not take.


StubClientInboxCall = object

Sealed

One pushed notice, as stubClientInbox records it.

clientId: string

notice: ClientNotice


StubClientInboxOptions = object

Input

What stubClientInbox may be told.

optional answer?: "acked" | ClientUnreachableReason | ((call) => "acked" | ClientUnreachableReason)

How the device answers each notice: "acked" (the default), or a reason it did not take it — "offline", "busy", "no-ack", "disconnected". A function answers per call, e.g. busy once and then acked.


StubClientTranscript = object

Sealed

What stubClientTranscript returns: the call log, and how to put the slot back.

restore(): void

Unpublish the reader. Call it in an afterEach, like stubClientInbox’s.

void

calls: StubClientTranscriptCall[]

Every read, in order.


StubClientTranscriptAnswer = ClientTranscript | ((call) => ClientTranscript)

What stubClientTranscript answers each read with.


StubClientTranscriptCall = object

Sealed

One read, as stubClientTranscript records it.

clientId: string

options: StepClientTranscriptOptions


StubDelegateReply = string | { complaint?: string; revisions?: number; steps?: number; text: string; toolCalls?: readonly DelegateToolCall[]; }

What one route answers with.

A bare string is the subagent’s final text with an empty cost report, which is what a tool that only reads text wants. The object form fills in steps and toolCalls for a tool that narrates the wait.

string


{ complaint?: string; revisions?: number; steps?: number; text: string; toolCalls?: readonly DelegateToolCall[]; }

optional complaint?: string

Stage a run the subagent’s GUARDRAIL never accepted: the complaint the real runtime returns beside the last rejected attempt.

Its presence is what makes the result’s accepted false — the two cannot be staged apart, because in the runtime they cannot occur apart. A spec cannot describe an unaccepted answer with no reason, and a caller reading complaint on an accepted one would be reading a field that is never set.

optional revisions?: number

How many times a guardrail sent an answer back. Defaults to 0.

optional steps?: number

text: string

optional toolCalls?: readonly DelegateToolCall[]


StubDelegateRoute = StubDelegateReply | ((call) => StubDelegateReply)

How a route answers: a fixed reply, or a function of the call — the function form being what a route asked more than once (a subagent run per document) needs in order to shift its own script.


StubDelegateScript = { reply: StubDelegateRoute; routes?: never; } | { reply?: never; routes: Readonly<Record<string, StubDelegateRoute>>; }

Everything stubDelegate and stubStepDelegate accept: ONE route answering every delegation, or a table of routes keyed by subagent name — each under a key that says which.

The same two shapes StubGenerateScript takes, for the same reason: a bare “a table, or a reply” union is told apart at runtime by the reply’s shape, so a subagent named text could never be routed and a reply object could be read as a table. Named, there is nothing to guess.

{ reply: StubDelegateRoute; routes?: never; }

readonly reply: StubDelegateRoute

Answers EVERY delegation, whichever subagent it names.

readonly optional routes?: never


{ reply?: never; routes: Readonly<Record<string, StubDelegateRoute>>; }

readonly optional reply?: never

readonly routes: Readonly<Record<string, StubDelegateRoute>>

One route per subagent, keyed by its name. A delegation naming no route rejects, naming the subagent.


StubEmitted = object

Sealed

One chunk stepEmit() wrote, and the stream it went to.

chunk: unknown

The value, exactly as the step passed it.

namespace: string

The stream named at the call site.


StubFetchRoutes = object

Sealed

What stubFetchRoutes returns.

restore(): void

Put the global fetch back and unpublish the step fetch.

void

to(filter): FetchRouteHit[]

The hits a filter selects: a string matched the way a route KEY is ("POST supabase.test", "*.example"), a RegExp tested against the URL.

string | RegExp

FetchRouteHit[]

readonly fetch: typeof globalThis.fetch

The router as a fetch, for code handed one explicitly.

readonly hits: FetchRouteHit[]

Every request, in order, including passed-through and unmatched ones.


StubGenerateReply = string | { object: unknown; text?: string; }

What one route answers with.

A bare string is text (the schemaless shape); an object is structured output, and its text defaults to the JSON the real host would have returned — a schema call’s text IS the stringified object, so a fake that left it empty would differ from production in the one place a caller might read it.


StubGenerateRoute = StubGenerateReply | ((call) => StubGenerateReply)

How a route answers: a fixed reply, or a function of the call.

The function form is what a route with a QUEUE needs — a grader asked once per document, an executor asked once per turn — since it can shift its own script.


StubGenerateScript = { reply: StubGenerateRoute; routes?: never; } | { reply?: never; routes: Readonly<Record<string, StubGenerateRoute>>; }

Everything stubGenerate accepts: ONE route answering every call, or a table of routes keyed by system prompt — each under a key that says which.

import { stubGenerate } from "@alexkroman1/aai/testing";
stubGenerate({ reply: "The documented answer." });
stubGenerate({ routes: { "You grade documents.": { object: { score: 1 } } } });

Why two keys rather than “a record, or a route”. The bare form was a union of a route table and a single reply, told apart at runtime by whether the object had an object key — so stubGenerate({ text: "…" }) type-checked as a table with one route named text and rejected every call. A misuse arm in the type was meant to refuse it, and could not SPEAK: the reply arm’s optional text out-scored it, so tsc printed “Property ‘object’ is missing” — the wrong remedy. With the shape named, there is nothing to disambiguate: { reply: { text } } is a reply, and a function under reply is a computed route, never mistaken for the seam itself (see ToolContextOverrides.generate).

Named because it is written down in two places — that function and the generate field of createToolContext’s overrides — and a union restated at each of them is a union that drifts.

{ reply: StubGenerateRoute; routes?: never; }

readonly reply: StubGenerateRoute

Answers EVERY call, whatever its system prompt.

readonly optional routes?: never


{ reply?: never; routes: Readonly<Record<string, StubGenerateRoute>>; }

readonly optional reply?: never

readonly routes: Readonly<Record<string, StubGenerateRoute>>

One route per model ROLE, keyed by the call’s system prompt. A call whose system prompt names no route rejects, naming it; "" is the route for a call that carries none.


StubPlaceCall = object

Sealed

What stubPlaceCall returns: the call log, and how to put the slot back.

restore(): void

Unpublish the stepFetch and the public URL. Call it in an afterEach.

void

calls: StubPlacedCall[]

Every dial, in order — including refused ones.


StubPlaceCallOptions = object

Input

What stubPlaceCall may be told.

optional dial?: "accept" | StubPlaceCallRefusal | ((call) => "accept" | StubPlaceCallRefusal)

How Twilio answers each dial: "accept" (the default), or a refusal — { status: 400, code: 21219 } is a trial account calling an unverified number. A function answers per call.

optional otherwise?: (request) => StubStepAnswer | Promise<StubStepAnswer>

Every request that is not to Twilio’s Calls API. Default: throw, naming it — a request nobody set up is a finding (see stubFetchRoutes).

StubStepRequest

StubStepAnswer | Promise<StubStepAnswer>

optional publicUrl?: string

This agent’s public URL while the stub is installed — what a deployment publishes and stepPlaceCall dials back to when no agentUrl is passed. Default "https://agent.example.test"; restore() puts back the previous one.

optional status?: PlacedCallStatus | "initiated" | ((call) => PlacedCallStatus | "initiated")

What each status read answers: a status, or a function of the call (its polls already counts this read). Default "completed".


StubPlaceCallRefusal = object

Input

A Twilio refusal to stage: the HTTP status and, optionally, Twilio’s error code and message.

optional code?: number

optional message?: string

status: number


StubPlacedCall = object

Sealed

One call a step placed, as stubPlaceCall records it.

callId: string | undefined

The call id the stub answered with (CA + a counter), or undefined for a refused dial.

from: string

parameters: Record<string, string>

The <Parameter>s, decoded — what the answering session reads as call.parameters.

polls: number

How many times StubPlaceCallOptions.status has been asked about this call.

ringTimeoutS: number

timeLimitS: number

to: string

webhookUrl: string | undefined

The webhook Twilio fetches once the call is answered, WITHOUT the parameters (they are StubPlacedCall.parameters): https://…/phone?carrier=twilio.


StubReporter = object

Sealed

What stubReporter returns.

emitted: StubEmitted[]

Every chunk stepEmit() wrote, oldest first.

lines: string[]

Every line stepReport() wrote, oldest first.

restore: () => void

Unpublish. Call it in an afterEach — see stubReporter.

void


StubSpeechCall = object

Sealed

One stepSpeak call, as stubSpeech records it.

apiKey: string

The credential stepSpeak resolved out of the step env — "" when the env holds none, which the stub accepts unless StubSpeechOptions.requireApiKey is set.

language: string | undefined

The language code, or undefined when the caller named none.

sampleRate: number

The rate the audio was asked for at.

text: string

The text handed to the synthesizer, trimmed the way stepSpeak trims it.

voice: string

The voice, with stepSpeak’s default already filled in.


StubStepAnswer = Response | { body?: unknown; headers?: Record<string, string>; status?: number; }

What a stubStepFetch answer may be: a whole Response, or the { status, body, headers } shorthand that JSON-encodes body.

Named because the transcription fake (stubTranscribe) hands its otherwise handler the same vocabulary, and a spec routing by URL should not have to restate the union to write one.


StubStepRequest = object

Sealed

One request a stubStepFetch recorder captured.

body: Uint8Array | string | undefined

The body as sent.

A STREAMING body (an async iterable — see StepFetchInit.body) is DRAINED into a Uint8Array before it reaches a spec, so an assertion reads the bytes that went out rather than an iterator it would have to consume itself — and consuming it in the spec would be consuming the one the request was going to send.

headers: Record<string, string>

method: string

url: string


StubTranscribeCall = StubStepRequest & object

Sealed

One request stubTranscribe answered, with the leg it belonged to.

leg: StubTranscribeLeg

Which of the four calls this was, or "other".


StubTranscribeFailure = object

Input

A refusal to stage, as an HTTP answer the SDK then classifies.

Deliberately not a TranscribeError: the verdict a spec cares about (retryable, retryAfter) is computed by transcribeFailure from the status and the headers, so staging the STATUS exercises that classification and staging the error would replace it. 429 and 5xx are the transient pair, 408 counts, and everything else is terminal — see isTransientStatus on @alexkroman1/aai/step.

optional leg?: StubTranscribeLeg | readonly StubTranscribeLeg[]

Which leg refuses. Defaults to ALL FOUR, which is what a spec asserting “this flow reports a 429 as retryable” wants — it does not care which call met the limit.

optional message?: string

What the body says went wrong.

Sent as { error }, which both endpoints’ readers understand — the async API’s own spelling, and one of the three transcribeFailure accepts.

optional retryAfterSeconds?: number

Seconds to put in Retry-After.

The field a fan-out’s behaviour turns on: four segments that hit a per-minute limit together re-collect their 429s on a backoff nobody chose unless the header is honoured, so a spec about batching needs to be able to send one.

optional status?: number

The status to answer. Defaults to 500.


StubTranscribeLeg = "upload" | "submit" | "poll" | "sync" | "other" | string & object

Which transcription call a request was.

"other" is anything that is not one of the four — a model call, a feed download — which reaches the otherwise handler rather than this fake.


StubUpload = Uint8Array | { bytes: Uint8Array; complete?: boolean; name?: string; type?: string; }

One file a stubUploads store answers for.

A bare Uint8Array is the common case and means “these bytes, no name”.

Uint8Array


{ bytes: Uint8Array; complete?: boolean; name?: string; type?: string; }

bytes: Uint8Array

optional complete?: boolean

Whether every byte is in. Defaults to true.

false stages a STREAMED upload that is still arriving, which is the state a step polling one has to handle and the only one where stepReadUpload legitimately comes back short. Being able to write that down is most of why this field exists: a body that treats a stalled size as the end returns a transcript of most of a recording and reports success, and a spec cannot catch that without an incomplete upload to hand it.

optional name?: string

optional type?: string


StubUploadWrite = object

Sealed

One file a step WROTE into a stubUploads store.

bytes: Uint8Array

Every byte written, drained from the step’s stream.

id: string

The minted id the step was handed back — upl_stub_1, unless renamed.

name: string

The name the step declared, or "" when it named none.

type: string

The content type the step declared, or "".


TestToolContext = ToolContext & object

Sealed

A ToolContext that records what its tools sent and said.

Assignable to ToolContext wherever one is required, so it passes straight to execute. Only createToolContext makes one, so a recorder it gains is a revision rather than a break.

readonly desk: StubDelegate

The ctx.delegate fake — desk.calls is every subagent run the tools asked for. Present and wired on the same terms as TestToolContext.model.

readonly interrupts: number

How many times ctx.speech.interrupt() was called.

readonly model: StubGenerate

The ctx.generate fake — model.calls is every prompt the tools sent.

Present on every context, so an assertion needs no null check, and WIRED whenever generate arrived as a script or as a fake. Given a bare function (or nothing at all) it is a fake nothing reaches: model.calls stays empty for the same reason TestToolContext.sent does when a test brings its own send spy — the seam belongs to the caller, and so does the log.

readonly said: SaidLine[]

Every ctx.speech.say, in call order. Empty when a spec passes its own speech, on the rule sent follows for send.

readonly sent: SentEvent[]

Events ctx.send would put on the wire, in call order. An event the runtime would drop (over the payload cap, an over-long name, no JSON form) is not here, for the same reason it is not in the browser.


TextAgentTestRun = object

Sealed

What one scripted turn produced.

readonly events: readonly SessionEvent[]

The turn as a typed SessionEvent stream, in order — every event TextAgentOptions.onEvent reported while this turn ran.

This is the field that makes a text agent GRADEABLE by the same readers a voice one is. @alexkroman1/aai-runtime/eval answers three questions off an event list — where a reply ends, what the agent said, which tools it called with what — and every one of them takes this array unchanged:

import { agent } from "@alexkroman1/aai";
import { saidIn, toolCallsInEvents, toolNames } from "@alexkroman1/aai-runtime/eval";
import { runTextAgent } from "@alexkroman1/aai-runtime/testing";
const desk = agent({ name: "Desk", mode: "text" });
const run = await runTextAgent(desk, "where is order 7?", {
script: [
{ text: "Let me check.", toolCalls: [{ name: "look_up", input: { id: "7" } }] },
{ text: "It shipped yesterday." },
],
});
console.log(toolNames(toolCallsInEvents(run.events))); // ["look_up"]
console.log(saidIn(run.events)); // ["Let me check.It shipped yesterday."]

The three projections above it are not made redundant by it and are not a second copy of it either: TextAgentTestRun.toolCalls carries the SDK’s own parsed input where an event carries the wire’s record. What this adds is the vocabulary the eval tier already speaks — including the turn TERMINATOR, which is what lets a harness wait for a reply to end rather than for a timer.

Ends in exactly one reply.completed or reply.cancelled, on every turn this helper drives: it consumes the whole stream, so the terminal part has always passed through by the time this resolves. text-agent/events.ts carries which events a text agent emits and which it refuses.

readonly messages: readonly ModelMessage[]

The messages the turn APPENDED — every step’s assistant reply and every tool exchange, as the SDK reconstructs them.

What a caller persists, and what a second turn of the same conversation is built on: [...sent, ...run.messages]. Taken from responseMessages (every step) rather than from response (the last step only), for the reason TextAgentTestRun.text carries — a tool-calling turn’s own exchange lives in the steps before the last one, so the narrower field hands back an assistant message with no tool call to explain it.

readonly text: string

Everything the agent said, concatenated across steps — what the caller heard.

NOT StreamTextResult.text, which is the LAST step’s text alone. That is the right value for a chat surface reconstructing one assistant message and a trap for a spec: a turn that narrates (“let me check”) and then calls a tool reports only the sentence after the call, so an assertion on the narration silently passes against nothing. Read TextAgentTestRun.texts when the per-step split is what matters.

readonly texts: readonly string[]

What the agent said on each step, in order — one entry per model call.

readonly toolCalls: readonly TextAgentTestToolCall[]

Every tool call the turn made, in the order the turn made them.

Flattened across steps deliberately: a tool-calling turn’s steps are an artifact of how the loop is cut, while “it looked the order up and then cancelled it” is the property a spec is about.


TextAgentTestToolCall = object

Sealed

One tool call the turn made, with what it was given and what it answered.

The two halves are one record here because they are one EVENT to a spec, and the SDK hands them back as two arrays that have to be joined on toolCallId — a join every caller was writing, and getting subtly wrong in the same way: a toolResults walk alone silently omits a call that never came back, which is exactly the case a spec about a failing tool is asserting.

readonly args: unknown

What the MODEL asked for — the script’s input, as the SDK parsed it off the wire.

Deliberately not the value the tool’s execute received: coercion and Standard Schema validation happen inside executeToolCall, and nothing the turn reports carries their output. So a script writing { n: "4" } against a z.number() reads back { n: "4" } here while the tool really got 4 — a spec asserting on the COERCED value asserts inside the tool, which is the only place that value exists.

readonly id: string

The call id, which is what pairs this call with its result on the wire.

readonly name: string

The tool’s name, as the model asked for it.

readonly result: unknown

What the call answered, as the model sees it.

A STRING in practice, and that is the production path rather than a projection: executeToolCall serializes every result — a thrown error included, which arrives as a failure string the model can read — because a tool result is a wire value. So a tool returning 5 reads back "5".

undefined for a call the turn never came back from: an aborted turn, or one the step budget ended on the call.


ToolBearingAgent = object

Input

The slice of an agent these helpers read: its tool table — the tools/ files plus every toolset agent() attached (a roster’s handoff, delegate and gated tools), gated by its dialogs.

Structural rather than AgentDef, so a spec may pass the agent’s default export, a bare { tools } literal, or anything else carrying one.

readonly optional dialogs?: readonly AnyDialog[]

readonly tools: Readonly<Record<string, ToolDef>>


ToolContextOverrides = object

Input

What createToolContext accepts: a field per ToolContext field, each also taking undefined for one the caller does not have.

Not Partial<ToolContext>, and the difference is the whole point. Under exactOptionalPropertyTypes — which this repo and the scaffold both set — Partial<T> means sessionId?: string, a property that may be ABSENT but whose value may never be undefined. So a spec holding a string | undefined could not pass it, and the workaround it reached for instead was a conditional spread:

import { createToolContext } from "@alexkroman1/aai/testing";
declare const sessionId: string | undefined;
createToolContext({ ...(sessionId ? { sessionId } : {}) });

Two shipped templates had that line byte-identical, and it is the exact shape this repo’s own guard-invariants rule 22 counts as debt — so the SDK’s signature was teaching the pattern its gates refuse. Adding | undefined to every field costs nothing (an explicit undefined and an absent key both fall through to the default, because createToolContext takes the overrides through omitUndefined before spreading them) and strictly widens what compiles.

Every field is NAMED rather than mapped over keyof ToolContext. A mapped type is one a reader cannot see the members of without expanding it, and one that silently grows a field when ToolContext does — which is the moment a test double should have to decide what its default is. testing.test-d.ts pins that the two key sets agree, so a new ToolContext field fails there rather than being unoverridable.

The two MODEL seams also accept the SCRIPT their fake is built from — see their own docs below.

optional call?: SessionCall

The phone call this session is, as sessionCall(ctx) will read it — recorded under the context’s sessionId the way the runtime records a WS /phone stream’s start frame. Omitted, sessionCall answers undefined, which is what a browser tab gets.

optional clientId?: string

The device this session belongs to, as sessionClientId(ctx) will read it — recorded under the context’s sessionId the way the runtime records a socket’s ?client=. Omitted, sessionClientId answers undefined, which is what a browser tab or a phone call gets.

optional clientLocation?: string

Where this session’s client is, as sessionClientLocation(ctx) — and the google_places / open_meteo builtins — will read it, cleaned by the ?location= rule. Omitted, or refused by it, it answers undefined.

optional clientPhone?: string

The phone number this session’s client reported, as sessionClientPhone(ctx) will read it — recorded the way the runtime records ?phone=, in E.164 ("+1 (503) 555-0123" reads back "+15035550123"). Omitted, or not an E.164 number at all, sessionClientPhone answers undefined.

optional deadlineAt?: ToolContext["deadlineAt"]

See ToolContext.deadlineAt. Defaults to the runtime’s tool deadline, from now.

optional delegate?: ToolContext["delegate"] | StubDelegateScript

A real ctx.delegate, or stubDelegate’s own SCRIPT — { reply } or { routes } keyed by subagent name. A function is the seam, on the same rule as generate above; the fake comes back on TestToolContext.desk.

optional desk?: StubDelegate

The stubDelegate twin of ToolContextOverrides.model.

optional env?: ToolContext["env"]

See ToolContext.env. Defaults to {}.

optional generate?: ToolContext["generate"] | StubGenerateScript

A real ctx.generate, or stubGenerate’s own SCRIPT — { reply } or { routes }.

A script is built into the fake here, so the two-step every spec wrote — stubGenerate(script), destructure, createToolContext({ generate }) — is one call, and the fake comes back on TestToolContext.model.

A FUNCTION in this position is always the seam itself, and nothing else can be one: a computed route is written { reply: (call) => … }, so it cannot be mistaken for a GenerateFn the way a bare function route used to be.

optional messages?: ToolContext["messages"]

See ToolContext.messages. Defaults to [].

optional model?: StubGenerate

A fake this spec built itself, to be exposed as TestToolContext.model — and, unless generate also names a function, INSTALLED as the seam.

The escape hatch under the script sugar: a caller holding a stubGenerate it wants to share across two contexts names it here rather than leaving ctx.model pointing at a fake nothing reaches.

optional now?: ToolContext["now"]

See ToolContext.now. Defaults to Date.now.

optional random?: ToolContext["random"]

See ToolContext.random. Defaults to a SEEDED source.

optional send?: ToolContext["send"]

See ToolContext.send. Defaults to the recorder behind TestToolContext.sent.

optional sessionId?: ToolContext["sessionId"]

See ToolContext.sessionId. Defaults to a fresh id per call.

optional signal?: ToolContext["signal"]

See ToolContext.signal. Defaults to a signal that never aborts.

optional slots?: ToolContext["slots"]

See ToolContext.slots. Defaults to a fresh, empty, REAL slot store.

optional speech?: ToolContext["speech"]

See ToolContext.speech. Defaults to the recorder behind TestToolContext.said.

optional turn?: ToolContext["turn"]

See ToolContext.turn. Defaults to 0 — a context that belongs to no turn.

optional workflows?: ToolContext["workflows"]

See ToolContext.workflows. Defaults to a client whose every method rejects.


ToolRunner = <T>(tool, argsOrCtx?, ctx?) => Promise<Awaited<ReturnType<T["execute"]>>>

Sealed

What toolRunner hands back: a GATED runTool with the agent already supplied.

run(addItem, { item: "apple" }) checks the arguments against what execute takes and answers what it returns, so a spec reads fields off the result with no cast. The def is resolved in the agent’s table by IDENTITY (a tools/<name>.ts default export IS the registered object, and so is a speaker’s tools entry), and the call goes through the toolset’s GATE — a dialog out of state refuses it, a roster entry not on the line refuses it — exactly as the model’s own call would. A def the agent does not declare throws naming the tools it does.

Takes the arguments-or-context union runTool documents: a tool that takes none may be handed the context in their place.

Named so a caller can annotate a helper that takes one, and so the union in the second position is written down once here rather than at every call site that binds it.

T extends object

T

Parameters<T["execute"]>[0] | ToolContext

ToolContext

Promise<Awaited<ReturnType<T["execute"]>>>


WorkflowContextOptions = object

Input

What createWorkflowContext takes.

optional hooks?: Record<string, unknown>

Payloads for ctx.waitFor, by token.

A token that is absent THROWS rather than hanging, because a spec that hangs reports a timeout naming the runner instead of the missing payload.

optional key?: string

The run’s StartOptions.key — what ctx.key answers and what ctx.signalToken/ctx.waitForSignal derive from. Defaults to none, so a body that signals is driven with the key it would be started with.

optional now?: number | (() => number)

What ctx.now() answers — a fixed number, or a function called per reach.

Defaults to WORKFLOW_CONTEXT_NOW, a FIXED instant, so a body’s derived durations are constants a spec can write down. There is no journal here, so nothing is memoized: a function is called once per reach, which is what a spec asserting on two reads (a start and an end) wants.

optional random?: number | (() => number)

What ctx.random() answers. Defaults to a fixed 0.5.

optional results?: Record<string, unknown>

Results to answer particular steps with, by step NAME.

Takes precedence over running the step, so it works in both modes: with runSteps: true it stubs one expensive step and leaves the rest real, and with runSteps: false it is what makes a body whose control flow READS its steps drivable at all — planAngles returning undefined otherwise reaches the fan-out below it as a missing list.

Keyed by name rather than by occurrence: a step in a loop is one name, and a spec that needs the iterations to differ wants runSteps: true with the collaborator stubbed instead.

optional runId?: string

Defaults to "wrun_test".

optional runSteps?: boolean

Run each step’s fn, or only record that it was reached.

Defaults to true, which is what makes this drive a REAL body. Pass false when the subject is the policy or the order — a step that is not run needs no collaborator stubbed, so such a spec stays short.

Note a recorded-only step resolves undefined, so a body that reads its result will see one. That is the honest cost of not running it.

optional uuid?: string | (() => string)

What ctx.uuid() answers.

Defaults to a DISTINCT value per reach — "uuid-0", "uuid-1", … — because a body that mints two ids and gets one is a body whose bug the spec would hide. Not a real UUID, deliberately: a spec asserting on a shape rather than on a value is asserting on the fake.

optional workflow?: string

The declared key. Defaults to "test".


WorkflowContextRecorder = WorkflowContext & object

Sealed

What createWorkflowContext answers: a real WorkflowContext plus its log.

readonly slept: RecordedSleep[]

Every ctx.sleep, in order.

readonly steps: RecordedStep[]

Every step reached, in the order the body reached them.

readonly waited: string[]

Every token ctx.waitFor was called with, in order.


WorkflowJournal = object

Sealed

Where a host’s durable runs are recorded — an opaque handle a host passes as RuntimeOptions.journal (or to runWorkflow) and never reads.

Only createMemoryJournal (and this package’s own durable backends) produce one — see workflowJournalBrand.

readonly [workflowJournalBrand]: true

The seal — see workflowJournalBrand.


workflowJournalBrand = typeof workflowJournalBrand

The seal WorkflowJournal carries. TYPE-ONLY: there is no value to import, which is what stops a hand-written object from satisfying the type.


WorkflowTestHandle<R> = WorkflowTestRun<R> & object

Sealed

A started run, plus the four things a spec can do to it.

Every method drives the run and resolves the SAME handle, so a spec reads the fields off it afterwards rather than threading a new value:

import { workflow } from "@alexkroman1/aai";
import { runWorkflow } from "@alexkroman1/aai-runtime/testing";
const review = workflow({
description: "Hold a draft until a human approves it.",
run: async (_input, ctx) => await ctx.waitFor<{ approved: boolean }>("approval"),
});
const run = await runWorkflow(review, {});
await run.signal("approval", { approved: true });
console.log(run.status, run.output);

readonly journal: WorkflowJournal

The journal the run lives in — opaque, and what a caller may pass back in as RunWorkflowOptions.journal to start a second run against the same world. What it holds for this run is WorkflowTestRun.steps, WorkflowTestRun.reads and WorkflowTestRun.waits.

readonly key: string

The correlation key the run was started with — RunWorkflowOptions.key, "test" by default — which is what the body reads as ctx.key and what its ctx.signalToken(label) derives a token from.

readonly signalled: boolean

What the last signal or signalRun answered.

advanceSleep(correlationIds?): Promise<WorkflowTestHandle<R>>

Cut short every wait the run is parked on, and deliver.

ctx.workflows.wakeUp’s own mechanism, which is what makes it honest: the journaled deadline is marked woken and the body continues from the journal, exactly as it would when a tool decides not to wait out a schedule. It does NOT move a clock, so a body that computes a duration from ctx.now still sees the instant it was journaled with.

A bare call reaches SLEEPS only. A hook’s deadline is a different kind of wait and is ended by naming its correlation id, or by answering it with signal — see WorkflowTestWait.kind for the approval window a bare wake used to close.

Resolves this handle. Read wakeAt before calling it to assert what the body asked for.

readonly string[]

Promise<WorkflowTestHandle<R>>

close(): Promise<void>

Stop the engine.

Nothing leaks without it — this driver injects its own dispatcher, so no timer is ever armed — but a run left open is still an engine holding a journal, and calling it is what keeps that true if the driver ever arms one.

Promise<void>

expireWaits(): Promise<WorkflowTestHandle<R>>

Close every ctx.waitFor WINDOW the run is parked on, and deliver.

The branch a body’s safe default lives in, and the one nothing else can reach. A waitFor(token, { timeoutMs }) journals its deadline as a sleep of kind hookTimeout, and ctx.workflows.wakeUp deliberately cannot end one: a bare wake is the “send it now” call a tool makes to cut a SCHEDULE short, and letting it also close an approval window would cancel something the body never asked to cancel. A targeted wake cannot either — the deadline carries no correlation id. So without this, the only way to reach the timeout branch is to wait out a window measured in minutes.

It does NOT move a clock and does not rewrite the stored record. It answers the deadline READ the way an elapsed one answers it — woken, which WorkflowTestWait.woken defines as “returns immediately” — for the windows OUTSTANDING when it is called, from the delivery it triggers on (a closed window stays closed on every later walk, as an elapsed one does). A window the body opens during that delivery (a second waitFor the first one’s close led to) is not expired with them: it parks, and a later expireWaits() or signal ends it. Everything downstream is the engine’s own: the close is still a compare-and-set on delivered, so a payload that landed first still wins and the body still takes the ANSWERED branch.

Resolves this handle. A run parked on a ctx.sleep is unaffected; advanceSleep is that one.

Promise<WorkflowTestHandle<R>>

restart(): Promise<WorkflowTestHandle<R>>

Throw this engine away, build a new one over the same journal, and deliver.

The crash model an author cares about: the process is gone and the journal is not. A step already journaled returns its stored result without running, and a step that was mid-flight runs again — which is the at-least-once contract seen from a body’s own side.

It models the redelivery a QUEUE makes rather than createInProcessWorkflowEngine’s boot sweep, because this driver owns the schedule (see runWorkflow). The sweep — the thing that re-enqueues a run whose deadline outlived the process — has its own property in this package and is not what a template spec is asserting.

Promise<WorkflowTestHandle<R>>

signal(token, payload?, options?): Promise<WorkflowTestHandle<R>>

Answer a ctx.waitFor token, and deliver.

Exactly ctx.workflows.signal’s call: an absent payload is sent as {}, so a body reading a field off the answer — or a ctx.poll({ first }) reporting woken — sees what a tool’s bare signal gives it; and the payload is held for a wait the run has not reached yet only when options.holdMs asks (SignalOptions.holdMs).

Resolves this handle. signalled says whether anything was holding the token — false for a token nobody waits on, one already answered, or one whose window has closed, which are the same refusal a deployed ctx.workflows.signal gives — or true for a payload HELD.

string

unknown

WorkflowTestSignalOptions

Promise<WorkflowTestHandle<R>>

signalRun(label, payload?, options?): Promise<WorkflowTestHandle<R>>

Answer the body’s ctx.waitForSignal(label), and deliver — signal for the token the body DERIVED from the run’s name, its key and label (ctx.signalToken), so a spec names the label it reads in the body rather than re-spelling the token grammar. signalled reads the same answer.

Held by default, as ctx.workflows.signalRun holds (for DEFAULT_SIGNAL_HOLD_MS): a spec that signals while the body is still parked on a ctx.sleep ahead of the wait, then advanceSleeps, reads the answered branch exactly as the tool it mirrors would. options.holdMs: 0 holds nothing.

A run started by this driver always has a key, so the keyless refusal ctx.waitForSignal documents is not expressible here; the engine harness reaches it.

string

unknown

WorkflowTestSignalOptions

Promise<WorkflowTestHandle<R>>

R


WorkflowTestRead = object

Sealed

One journaled determinism read — what ctx.now(), ctx.random() or ctx.uuid() answered, and will answer again on every later walk.

readonly key: string

now!0, random!0, uuid!0 — the reserved key space, per kind.

readonly kind: "now" | "random" | "uuid" | string & object

Which affordance this reach was: now, random or uuid. Open, so a new determinism read is not a break for a spec switching over this.

readonly value: unknown

The value the journal holds, which every replay reads back.


WorkflowTestRun<R> = object

Sealed

The run, as it stands after the last thing the driver did.

R

What the body returns, taken from the declaration.

readonly crashed: boolean

True once a RunWorkflowOptions.crashAt delivery was killed.

readonly deliveries: number

Deliveries this run has taken.

A durable run is delivered once per suspension plus once to start, so this is what a spec reads to assert that a resume really was a SECOND walk rather than one body that happened to keep going.

readonly error: string | undefined

The failure message, once the run is failed.

readonly output: R | undefined

The body’s return value, once the run is completed.

readonly reads: readonly WorkflowTestRead[]

Every journaled determinism read — ctx.now(), ctx.random(), ctx.uuid() — in the same canonical order.

Kept apart from WorkflowTestRun.steps because the ENGINE keeps them apart: they are journaled through the same appendStep (which is what makes a second walk read the same value, and what let them ship without a new JournalStore method) but into a reserved key space of their own — now!0, not now#0 — and isDeterminismKey is the engine’s own predicate for the difference. They also carry no attempt, having no body to abandon.

Folding them in was this surface’s own bug: a spec asserting which call sites a body reached got a now it never wrote, and the projection was flattening a distinction the journal makes on purpose.

readonly resumable: boolean

Would a boot sweep pick this run up?

The query a worker that died mid-run is found by: true for every run not yet settled — parked on a deadline (the sweep re-arms it) or abandoned mid-walk (the sweep redelivers it) — which is what makes “resume” a platform behaviour rather than a promise this handle keeps.

readonly runId: string

readonly status: WorkflowRunStatus

Where the run is.

running is the PARKED state as well as the executing one — a durable run that suspended is in progress, it is just not executing — so a spec that expects a wait asserts running plus a WorkflowTestRun.wakeAt or a pending hook.

readonly steps: readonly WorkflowTestStep[]

Every settled ctx.step, ordered by NAME and then by occurrence.

JournalStore.readSteps answers by finishedAt with the key breaking a tie, which is the right contract for a STORE — it is what makes three backends comparable — and the wrong one to hand a spec. Two steps of one fast walk settle inside the same millisecond routinely, so under that order the obvious assertion (expect(run.steps.map((s) => s.key)).toEqual([…])) passes on a slow machine and fails on a quick one. That is a flake whose failure names a timing detail rather than a bug, which is the shape this repo refuses everywhere else it observes a clock.

So the order here is a property of the BODY rather than of the run: name ascending, then occurrence NUMERICALLY — poll#2 before poll#10, which a plain string sort gets wrong. Nothing is lost, because settle order under a fan-out is the scheduler’s and was never assertable anyway.

ctx.now(), ctx.random() and ctx.uuid() are NOT in here — see WorkflowTestRun.reads.

readonly waits: readonly WorkflowTestWait[]

Every wait the journal holds for this run — a ctx.sleep’s deadline or a ctx.waitFor window’s — ordered by key.

The durable record rather than the driver’s view of it: what tells an ordinary sleep from an approval window’s deadline is WorkflowTestWait.kind, and only the journal carries it.

readonly wakeAt: number | undefined

The deadline the run is parked on, when it is parked on one.

Read off what the body’s suspension handed the dispatcher, which is the journaled wake time — so a spec asserting “it slept for a day” compares this against the instant the run started rather than waiting one.


WorkflowTestSignalOptions = object

Input

What WorkflowTestHandle.signal and WorkflowTestHandle.signalRun take beside the payload: SignalOptions.holdMs, as ctx.workflows takes it.

optional holdMs?: number

How long to HOLD the payload for a wait the run has not reached yet, in milliseconds — SignalOptions.holdMs. signal holds only when asked; signalRun holds for DEFAULT_SIGNAL_HOLD_MS unless told otherwise, and 0 holds nothing.


WorkflowTestStep = object

Sealed

One step the run journaled.

A projection of the engine’s own StepEntry rather than that type re-exported: finishedAt is a wall clock, so a spec that could see it would be a spec that could depend on it.

readonly attempts: number

Attempts this step consumed, counting the one that settled it.

The field a spec asserting a RETRY reads: a maxAttempts step whose body threw once and then succeeded settles at 2.

readonly optional error?: string

Why it failed. Present when status is failed.

readonly key: string

name#occurrence — what makes a step in a loop distinguishable.

readonly name: string

The name the body passed ctx.step.

readonly optional output?: unknown

What the step returned. Present when status is ok.

readonly status: "ok" | "failed" | string & object

ok or failed today; open, so a new settle state is not a break.


WorkflowTestWait = object

Sealed

One wait the run’s journal holds.

readonly correlationId: string | undefined

The correlation id a targeted wake names, when the body gave one.

readonly key: string

The journal key of the suspension (sleep!poll#0, …).

readonly kind: "sleep" | "hookTimeout" | string & object

sleep for a ctx.sleep, hookTimeout for a ctx.waitFor window’s deadline — the distinction a bare advanceSleep() respects (it ends only sleeps). Open, so a new kind of wait is not a break.

readonly wakeAt: number

The journaled wake time, epoch milliseconds.

readonly woken: boolean

Already woken: a later walk past it returns immediately.

const DEFAULT_MAX_DELIVERIES: 50 = 50

How many deliveries one run may take before the driver gives up.

Generous — a template’s longest body suspends twice — and low enough that a body woken in a loop fails in milliseconds with a message naming the bound rather than hanging until the runner’s own timeout, which reports the runner.


const STUB_SPEECH_PCM_BYTES: number

PCM bytes stubSpeech answers with when no size is named — ~0.25s at 24 kHz.


const WORKFLOW_CONTEXT_NOW: number

The instant createWorkflowContext freezes ctx.now() at.

2026-01-01T00:00:00.000Z. Exported so a spec computes an expected duration from it rather than copying the number.

Re-exports createRecordingWorkflows


Re-exports dialogRefusalPattern


Re-exports dialogResultSchema


Re-exports eventsOf


Re-exports HostAgentOptions


Re-exports isEvent


Re-exports RecordingWorkflows


Re-exports RecordingWorkflowsOptions


Re-exports stubGatewayRoute


Re-exports StubGatewayRoute


Re-exports StubSpeech


Re-exports StubSpeechOptions


Re-exports StubStepDelegate


Re-exports StubStepFetch


Re-exports StubTranscribe


Re-exports StubTranscribeOptions


Re-exports StubUploads


Re-exports StubUploadsOptions